Table of Contents

• How powerful is your evolutionary, algorithm?Xin Yao. [doi]
• The future of cooperationRobert Axelrod. [doi]
• Emergent design: opportunities for agent-based and evolutionary computationUna-May O'Reilly. [doi]
• You are what you eat: dinner in high temperature ecosystemsAnna-Louise Reysenbach. [doi]
• Neural network regularization and ensembling using multi-objective evolutionary algorithmsYaochu Jin, Tatsuya Okabe, Bernhard Sendhoff. 1-8 [doi]
• A fuzzy-optima definition based multiobjective optimization of a racing car tyre-suspension systemMarco Farina, Massimiliano Gobbi. 9-16 [doi]
• PAMUC II for multicriteria optimization of mechanical designs with expert rulesRajan Filomeno Coelho, Philippe Bouillard. 17-22 [doi]
• Dominance measures for multi-objective simulated annealingKevin I. Smith, Richard M. Everson, Jonathan E. Fieldsend. 23-30 [doi]
• Evolution to the Xtreme: evolving evolutionary strategies using a meta-level approachDwight Deugo, Darrell Ferguson. 31-38 [doi]
• Convergence time for the linkage learning genetic algorithmYing-Ping Chen, David E. Goldberg. 39-46 [doi]
• An analysis of evolutionary gradient searchDirk V. Arnold. 47-54 [doi]
• Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithmsAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar. 55-62 [doi]
• Optimization algorithm using multi-agents and reinforcement learningYoko Kobayashi, Eitaro Aiyoshi. 63-68 [doi]
• Understanding the role of insertion and correction in the evolution of Golomb rulersJorge Tavares, Francisco B. Pereira, Ernesto Costa. 69-76 [doi]
• A hybrid algorithm for k-medoid clustering of large data setsWeiguo Sheng, Xiaohui Liu. 77-82 [doi]
• Multiobjective parsimony enforcement for superior generalisation performanceYaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song. 83-89 [doi]
• Recent advances in particle swarmXiaohui Hu, Yuhui Shi, Russell C. Eberhart. 90-97 [doi]
• A particle swarm model for tracking multiple peaks in a dynamic environment using speciationDaniel Parrott, Xiaodong Li. 98-103 [doi]
• The automatic generation of programs for classification problems with grammatical swarmMichael O'Neill, Anthony Brabazon, Catherine Adley. 104-110 [doi]
• Vulnerability analysis of AIS-based intrusion detection systems via genetic and particle swarm red teamsGerry V. Dozier, Douglas Brown, John Hurley, Krystal Cain. 111-116 [doi]
• Scripting the game of Lemmings with a genetic algorithmGraham Kendall, Kristian Spoerer. 117-124 [doi]
• Evolutionary behavior testing of commercial computer gamesBen Chan, Jörg Denzinger, Darryl Gates, Kevin Loose, John W. Buchanan. 125-132 [doi]
• On the evolution of corewar warriorsFulvio Corno, Emesto Sanchez, Giovanni Squillero. 133-138 [doi]
• Using a genetic algorithm to tune first-person shooter botsNicholas Cole, Sushil J. Louis, Chris Miles. 139-145 [doi]
• Utilizing an island model for EA to preserve solution diversity for inferring gene regulatory networksChristian Spieth, Felix Streichert, Nora Speer, Andreas Zell. 146-151 [doi]
• A memetic inference method for gene regulatory networks based on S-SystemsChristian Spieth, Felix Streichert, Nora Speer, Andreas Zell. 152-157 [doi]
• On genetic programming and knowledge discovery in transcriptome dataJem J. Rowland. 158-165 [doi]
• An EA framework for biclustering of gene expression dataStefan Bleuler, Amela Prelic, Eckart Zitzler. 166-173 [doi]
• Finding multi-objective paths in stochastic networks: a simulation-based genetic algorithm approachZhaowang Ji, Anthony Chen, Kitti Subprasom. 174-180 [doi]
• An evolutionary approach for finding optimal automatic vehicle identification reader locations in transportation networksAnthony Chen, Piya Chootinan, Surachet Pravinvongvuth. 181-187 [doi]
• Local dominance using polar coordinates to enhance multiobjective evolutionary algorithmsHiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka. 188-195 [doi]
• Insights on properties of multiobjective MNK-landscapesHernán E. Aguirre, Kiyoshi Tanaka. 196-203 [doi]
• Vector evaluated differential evolution for multiobjective optimizationKonstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis. 204-211 [doi]
• Molecular force field parametrization using multi-objective evolutionary algorithmsSanaz Mostaghim, Michael Hoffmann, Peter H. Konig, Thomas Frauenheim, Jürgen Teich. 212-219 [doi]
• NFL theorem is unusable on structured classes of problemsBenjamin Weinberg, El-Ghazali Talbi. 220-226 [doi]
• No more lunch: analysis of sequential searchThomas M. English. 227-234 [doi]
• No-Free-Lunch theorems and the diversity of algorithmsMario Köppen. 235-241 [doi]
• Effects of phenotypic feedback and the coupling of genotypic and phenotypic spaces in genetic searchesR. Chow. 242-249 [doi]
• A comparison of the robustness of evolutionary computation and random walksJustin Schonfeld, Daniel A. Ashlock. 250-257 [doi]
• Differing mathematical perspectives of genotype space in combinatorial problems: metric spaces vs pretopological spacesGarrison W. Greenwood. 258-264 [doi]
• Evolving algorithms for constraint satisfactionStuart Bain, John Thornton, Abdul Sattar. 265-272 [doi]
• Recurrent distributed constraint satisfaction via genetic and evolutionary societies of hill-climbersGerry V. Dozier. 273-279 [doi]
• Grouping-based evolutionary algorithm: seeking balance between feasible and infeasible individuals of constrained optimization problemsMing Yuchi, Jong-Hwan Kim. 280-287 [doi]
• A simple elitist genetic algorithm for constrained optimizationS. Venkatraman, G. Gary Yen. 288-295 [doi]
• Constrained optimization problem solving using estimation of distribution algorithmsPetru-Aurelian Simionescu, David Beale, Gerry Vernon Dozier. 296-302 [doi]
• A genetic algorithm applied to graph problems involving subsets of verticesYaser Alkhalifah, Roger L. Wainwright. 303-308 [doi]
• A hybrid swarm optimizer for efficient parameter estimationSanthoji Katare, Alex Kalos, David H. West. 309-315 [doi]
• A new stochastic particle swarm optimizerZhihua Cui, Jianchao Zeng, Xingjuan Cai. 316-319 [doi]
• A quantum particle swarm optimizationShuyuan Yang, Min Wang, Licheng Jiao. 320-324 [doi]
• Particle swarm optimization with particles having quantum behaviorJun Sun 0008, Bin Feng, Wenbo Xu. 325-331 [doi]
• Noisy optimization problems - a particular challenge for differential evolution?Thiemo Krink, Bogdan Filipic, Gary B. Fogel. 332-339 [doi]
• Probability and dynamics in the particle swarmJames Kennedy. 340-347 [doi]
• The impact of noise on iterated prisoner's dilemma with multiple levels of cooperationSiang Yew Chong, Xin Yao. 348-355 [doi]
• PSO approaches to coevolve IPD strategiesNelis Franken, Andries Petrus Engelbrecht. 356-363 [doi]
• Learning versus evolution in iterated prisoner's dilemmaPhilip Hingston, Graham Kendall. 364-372 [doi]
• A decision making framework for game playing using evolutionary optimization and learningAlexandro Mark, Bernhard Sendhoff, Heiko Wersing. 373-380 [doi]
• Fingerprints: enabling visualization and automatic analysis of strategies for two player gamesDaniel Ashlock, Eun-Youn Kim, Warren K. von Roeschlaub. 381-387 [doi]
• Evolution of strategies in modified sequential assessment gamesXiaolu Sun, Winfried Just. 388-394 [doi]
• Supporting implicit learning via the visualisation of COGA multi-objective dataIan C. Parmee, Johnson A. R. Abraham. 395-402 [doi]
• PASSSS: an implementation of a novel diversity strategy for handling constraintsArturo Hernández Aguirre, Salvador Botello Rionda, Carlos Artemio Coello Coello. 403-410 [doi]
• Morphogenesis and structural design: cellular automata representations of steel structures in tall buildingsRafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong. 411-418 [doi]
• An application of graph based evolutionary algorithms for diversity preservationKenneth M. Bryden, Daniel A. Ashlock, Douglas S. McCorkle. 419-426 [doi]
• Quantitative trait loci based solution of an inverse radiation heat transfer problemSunil Suram, Kenneth M. Bryden, Daniel A. Ashlock. 427-432 [doi]
• Interactive evolutionary design of anthropomorphic symbolsNathan Dorris, Brian Carnahan, Luke Orsini, Lois-Ann Kuntz. 433-440 [doi]
• Performance evaluation of simple multiobjective genetic local search algorithms on multiobjective 0/1 knapsack problemsHisao Ishibuchi, Kiyoshi Narukawa. 441-448 [doi]
• Effects of elitism and population climbing on multiobjective MNK-landscapesHernán E. Aguirre, Kiyoshi Tanaka. 449-456 [doi]
• Pareto optimal sensing strategies for an active vision systemEnrique Dunn, Gustavo Olague, Evelyne Lutton, Marc Schoenauer. 457-463 [doi]
• Fitness evaluation using generalized data envelopment analysis in MOGAYeboon Yun, Masao Arakawa, Hirotaka Nakayama. 464-471 [doi]
• An investigation on the roles of insertion and deletion operators in tree adjoining grammar guided genetic programmingNguyen Xuan Hoai, Robert Ian Mc Kay. 472-477 [doi]
• Grammar model-based program evolutionYin Shan, Robert I. McKay, Rohan Baxter, Hussein A. Abbass, Daryl Essam, Hoai X. Nguyen. 478-485 [doi]
• A new technique for dynamic size populations in genetic programmingMarco Tomassini, Leonardo Vanneschi, Jerome Cuendet, Francisco Fernández. 486-493 [doi]
• Experiments with explicit for-loops in genetic programmingVictor Ciesielski, Xiang Li. 494-501 [doi]
• Anomaly detection based on unsupervised niche clustering with application to network intrusion detectionElizabeth Leon, Olfa Nasraoui, Jonatan Gómez. 502-508 [doi]
• Issues in evolving GP based classifiers for a pattern recognition taskAnkur Teredesai, Venu Govindaraju. 509-515 [doi]
• Genetic algorithm optimization of a convolutional neural network for autonomous crack detectionRobert Ouellette, Matthew Browne, Kotaro Hirasawa. 516-521 [doi]
• Interactive inversion of financial markets agent-based modelsTrent Ashburn, Eric Bonabeau. 522-529 [doi]
• Particle swarm optimization with adaptive linkage learningDeepak Devicharan, Chilukuri K. Mohan. 530-535 [doi]
• Particle swarm optimization for sequencing problems: a case studyLeticia C. Cagnina, Susana C. Esquivel, Raúl Héctor Gallard. 536-541 [doi]
• Supervisor-student model in particle swarm optimizationYu Liu, Zheng Qin, Xingshi He. 542-547 [doi]
• Randomized directed neighborhoods with edge migration in particle swarm optimizationArvind S. Mohais, Christopher Ward, Christian Posthoff. 548-555 [doi]
• Using evolutionary algorithms to suggest variable transformations in linear model lack-of-fit situationsFlor A. Castillo, Jeff D. Sweeney, Wayne E. Zirk. 556-560 [doi]
• Symbolic regression modeling of blown film process effectsArthur K. Kordon, Ching-Tai Lue. 561-568 [doi]
• A comparative study of coolant flow optimization on a steel casting machineBogdan Filipic, Tea Robic. 569-573 [doi]
• Optimisation of the high efficiency deep grinding process with fuzzy fitness function and constraintsPhilip M. Jones, Ashutosh Tiwari, Rajkumar Roy, John Corbett. 574-581 [doi]
• Investigating issues in the reconstructability of genetic regulatory networksDavid Corne, Carey Pridgeon. 582-589 [doi]
• Speciated GA for optimal ensemble classifiers in DNA microarray classificationSung-Bae Cho, Chanho Park. 590-597 [doi]
• Using stacking-energies (INN and INN-HB) for improving the accuracy of RNA secondary structure prediction with an evolutionary algorithm - a comparison to known structuresAlain Deschênes, Kay C. Wiese. 598-606 [doi]
• Parameter optimization of an evolutionary algorithm for RNA structure discoveryGary B. Fogel, Dana G. Weekes, Rangarajan Sampath, David J. Ecker. 607-613 [doi]
• Feature extraction using coevolutionary genetic programmingManabu Kotani, Daisuke Kato. 614-619 [doi]
• An empirical study on the performance of factorial design based crossover on parametrical problemsKit Yan Chan, M. Emin Aydin, Terence C. Fogarty. 620-627 [doi]
• HW-SW partitioning based on genetic algorithmYi Zou, Zhenquan Zhuang, Huanhuan Chen. 628-633 [doi]
• Evolution of emergent behaviors for shooting game characters in RobocodeJin-Hyuk Hong, Sung-Bae Cho. 634-638 [doi]
• Robust, reversible, nano-scale, femto-second-switching circuits and their evolutionHugo de Garis, Thayne Batty. 639-645 [doi]
• Nonlinear system identification based on evolutionary fuzzy modelingToshiharu Hatanaka, Yoshio Kawaguchi, Katsuji Uosaki. 646-651 [doi]
• Investigating organizational strategic inertia using a particle swarm modelAnthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill, Robin Matthews, Ernesto Costa. 652-659 [doi]
• Heuristics for a general scheduling problemCelia Gutiérrez. 660-665 [doi]
• Fast immunized evolutionary programmingWei Gao. 666-670 [doi]
• Using SAT scores as predictors for future academic successDavid Cohen. 671-677 [doi]
• Self-adaptive routing based on learning classifier systemsChung-Yuan Huang, Chuen-Tsai Sun. 678-682 [doi]
• Functional localization of genetic network programming and its application to a pursuit problemShinji Eto, Kotaro Hirasawa, Jinglu Hu. 683-690 [doi]
• Visualizing information in an interactive evolutionary design processOliver Bandte. 691-698 [doi]
• Effect of crossover operators under multirecombination: weighted tardiness, a test caseMaria E. De San Pedro, Daniel Pandolfi, Andrea Villagra, Marta Lasso, Raúl Héctor Gallard. 699-705 [doi]
• Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiationJinhua Zheng, Charles X. Ling, Zhongzhi Shi, Yong Xie. 706-712 [doi]
• Genetic network programming with automatically generated variable size macro nodesHiroshi Nakagoe, Kotaro Hirasawa, Jinglu Hu. 713-719 [doi]
• Efficiency enhancement of genetic algorithms via building-block-wise fitness estimationKumara Sastry, Martin Pelikan, David E. Goldberg. 720-727 [doi]
• Multi-objective evolutionary search performance with explicit building-block sizes for NPC problemsMark P. Kleeman, Richard O. Day, Gary B. Lamont. 728-735 [doi]
• A hybrid intelligent system approach for improving the prediction of real world time seriesTiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato. 736-743 [doi]
• Enhancement of the shifting balance genetic algorithm for highly multimodal problemsJun Chen, Mark Wineberg. 744-751 [doi]
• Comparing direct and developmental encoding schemes in artificial evolution: a case study in evolving lens shapesPeter Eggenberger Hotz. 752-757 [doi]
• Evolvable controllers with hierarchical structurePavel Osmera. 758-765 [doi]
• Varying sample sizes for the co-evolution of heterogeneous agentsGary B. Parker, H. Joseph Blumenthal. 766-771 [doi]
• Comparing performance of binary-coded detectors and constraint-based detectorsHaiyu Hou, Gerry V. Dozier. 772-777 [doi]
• Autonomous agent response learning by a multi-species particle swarm optimizationChi Kin Chow, Hung-Tat Tsui. 778-785 [doi]
• Talent based social algorithm for optimizationMoayed Daneshyari, Gary G. Yen. 786-791 [doi]
• A novel concurrent particle swarm optimizationS. Baskar, Ponnuthurai Nagaratnam Suganthan. 792-796 [doi]
• Optimized wavelet hand pose estimation for American sign language recognitionJason C. Isaacs, Simon Y. Foo. 797-802 [doi]
• An evolutionary algorithm for solving parameter identification problems in elliptic systemsZhijian Wu, Zhilong Tang, Jun Zou, Lishan Kang, Mingbiao Li. 803-808 [doi]
• Imitating success: a memetic crossover operator for genetic programmingBrent E. Eskridge, Dean F. Hougen. 809-815 [doi]
• "MULTI-MOD": a PC based software system for controlling an artificial brain containing 10, 000 evolved neural net modulesHugo de Garis, Thayne Batty. 816-819 [doi]
• A novel quantum evolutionary algorithm and its applicationShuyuan Yang, Min Wang, Licheng Jiao. 820-826 [doi]
• Real-coded GA with multimodal uniform distributionShin Ando, Hitoshi Iba. 827-834 [doi]
• Evolving sparse direction maps for maze pathfindingV. Scott Gordon, Zach Matley. 835-838 [doi]
• Design of rationality-based computing middleware: a preliminary studyJae C. Oh, Dmitri E. Volper. 839-846 [doi]
• A fuzzy-logic based evolutionary multiobjective approach for automated distribution networks managementAntonino Augugliaro, Luigi Dusonchet, Salvatore Favuzza, Eleonora Riva Sanseverino. 847-854 [doi]
• Exploring a financial product model with a two-population genetic algorithmSteven O. Kimbrough, Ming Lu, Soofi M. Safavi. 855-862 [doi]
• Rotation-invariant appearance based maps for robot navigation using an artificial immune network algorithmMark James Neal, Frédéric Labrosse. 863-870 [doi]
• A local analysis of the genotype-fitness mapping in hardware optimization problemsErnesto Sánchez, Giovanni Squillero, Massimo Violante. 871-878 [doi]
• A comparison of two mutation operators for the path planning problemSusana C. Esquivel, Marcos Garcia, Guillermo Leguizamón, Maximiliano Ribba. 879-883 [doi]
• Evolution strategies based particle filters for state and parameter estimation on nonlinear modelsKatsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka. 884-890 [doi]
• Evolving document features for Web document clustering: a feasibility studyMark P. Sinka, David W. Corne. 891-897 [doi]
• Behavior selection and learning for synthetic characterYong Duk Kim, Jong-Hwan Kim, Yong Jae Kim. 898-903 [doi]
• Expected runtimes of evolutionary algorithms for the Eulerian cycle problemFrank Neumann. 904-910 [doi]
• Analysis of encoding in 1+1-EAUday K. Chakraborty. 911-917 [doi]
• The curse of high-dimensional search spaces: observing premature convergence in unimodal functionsRalf Salomon. 918-923 [doi]
• Scuba search: when selection meets innovationSébastien Vérel, Philippe Collard, Manuel Clergue. 924-931 [doi]
• Evaluating a hybrid encoding and three crossover operators on the constrained portfolio selection problemFelix Streichert, Holger Ulmer, Andreas Zell. 932-939 [doi]
• Evolutionary building of stock trading experts in a real-time systemJerzy J. Korczak, Piotr Lipinski. 940-947 [doi]
• Setting up performance surface of an artificial neural network with genetic algorithm optimization: in search of an accurate and profitable prediction of stock tradingSerge Hayward. 948-954 [doi]
• Predicting the tick-wise price fluctuations by means of evolutionary computationMieko Tanaka-Yamawaki, Tomohiro Motoyama. 955-958 [doi]
• Co-evolutionary particle swarm optimization for min-max problems using Gaussian distributionRenato A. Krohling, Frank Hoffmann, Leandro dos Santos Coelho. 959-964 [doi]
• Particle swarm optimization for adaptive IIR filter structuresDean J. Krusienski, W. Kenneth Jenkins. 965-970 [doi]
• Ocean color inversion by particle swarm optimizationWayne H. Slade Jr., Habtom W. Ressom, Mohamad T. Musavi, Richard L. Miller. 971-977 [doi]
• Evolving neural networks using swarm intelligence for binmap classificationEmilio Miguelanez, Ali M. S. Zalzala, Paul Tabor. 978-985 [doi]
• An evolutionary approach for interactive computer gamesGeorgios N. Yannakakis, John Levine, John Hallam. 986-993 [doi]
• Hamilton's rule applied to reciprocal altruismJeffrey A. Fletcher, Martin Zwick. 994-1000 [doi]
• Ayo, the Awari player, or how better representation trumps deeper searchMohammed Daoud, Nawwaf N. Kharma, Ali Haidar, Julius Popoola. 1001-1006 [doi]
• Cellz: a simple dynamic game for testing evolutionary algorithmsSimon M. Lucas. 1007-1014 [doi]
• Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance predictionGuang-Zheng Zhang, De-Shuang Huang. 1015-1019 [doi]
• Force field approximation using artificial neural networksRichard O. Day, Gary B. Lamont. 1020-1027 [doi]
• A pharmacophore-based evolutionary approach for screening estrogen receptor antagonistsJinn-Moon Yang, Tsai-Wen Shen. 1028-1035 [doi]
• An artificial immune system strategy for robust chemical spectra classification via distributed heterogeneous sensorsMark A. Esslinger, Gary B. Lamont, Hoda S. Abdel-Aty-Zohdy, Robert L. Ewing. 1036-1043 [doi]
• Assessing the performance of two immune inspired algorithms and a hybrid genetic algorithm for function optimisationJonathan Timmis, Camilla Edmonds, Johnny Kelsey. 1044-1051 [doi]
• Parameter-free, adaptive clonal selectionSimon M. Garrett. 1052-1058 [doi]
• An intrusion detection system using ideas from the immune systemFabricio S. de Paula, Leandro N. de Castro, Paulo L. de Geus. 1059-1066 [doi]
• Non-Euclidean distance measures in AIRS, an artificial immune classification systemJanna S. Hamaker, Lois Boggess. 1067-1073 [doi]
• An immune algorithm with hyper-macromutations for the Dill's 2D hydrophobic-hydrophilic modelVincenzo Cutello, Giuseppe Nicosia, Mario Pavone. 1074-1080 [doi]
• Augmented negative selection algorithm with variable-coverage detectorsZhou Ji, Dipankar Dasgupta. 1081-1088 [doi]
• Evolutionary testing as both a testing and redesign tool: a study of a shipboard firemain's valve and pump controlsCarl Anderson, Eric Bonabeau, John M. Scott. 1089-1097 [doi]
• Interactive exploratory data analysisSergey Malinchik, Belinda Orme, Joseph A. Rothermich, Eric Bonabeau. 1098-1104 [doi]
• An instantaneous memetic algorithm for illumination correctionElsa Fernandez, Manuel Graña, Jesús Ruiz-Cabello. 1105-1110 [doi]
• Tuning search algorithms for real-world applications: a regression tree based approachThomas Bartz-Beielstein, Sandor Markon. 1111-1118 [doi]
• The force model: concept, behavior, interpretationRalf Salomon. 1119-1126 [doi]
• Automated selection of vision operator libraries with evolutionary algorithmsGreg Lee, Vadim Bulitko, Ilya Levner. 1127-1134 [doi]
• An evolutionary generation scheduling in an open electricity marketKeshav P. Dahal, Tomasz A. Siewierski, Stuart J. Galloway, Graeme M. Burt, Jim R. McDonald. 1135-1142 [doi]
• Solving dynamic tardiness problems in single machine environmentsMarta Lasso, Daniel Pandolfi, Maria E. De San Pedro, Andrea Villagra, Raúl Héctor Gallard. 1143-1149 [doi]
• Solving capacitated vehicle routing problems using edge histogram based sampling algorithmsShigeyoshi Tsutsui, Gordon Wilson. 1150-1157 [doi]
• A genetic exploration of dynamic load balancing algorithmsMohammed Aldasht, Julio Ortega, Carlos García Puntonet, Antonio F. Díaz. 1158-1163 [doi]
• Genetic list scheduling for soft real-time parallel applicationsYoginder S. Dandass. 1164-1171 [doi]
• Evolutionary algorithms based on machine learning accelerate mathematical function optimization but not neural net evolutionSree Harsha Aleti, Hugo de Garis. 1172-1177 [doi]
• Wireless access point configuration by genetic programmingJianjun Hu, Erik D. Goodman. 1178-1184 [doi]
• Evolved gate arrays for image restorationAdrian Burian, Jarmo Takala. 1185-1192 [doi]
• Synthesizing complex multimedia network topologies using an evolutionary approachSami J. Habib, Alice C. Parker. 1193-1200 [doi]
• Object transportation by two humanoid robots using cooperative learningYutaka Inoue, Takahiro Tohge, Hitoshi Iba. 1201-1208 [doi]
• Honeybee search strategies: adaptive exploration of an information ecosystemReginald L. Walker. 1209-1216 [doi]
• Demonstrating constraints to diversity with a tunably difficult problem for genetic programmingJason M. Daida, Michael E. Samples, Bryan T. Hart, Jeffry Halim, Aditya Kumar. 1217-1224 [doi]
• Visualizing the loss of diversity in genetic programmingJason M. Daida, David J. Ward, Adam M. Hilss, Stephen L. Long, Mark R. Hodges, Jason T. Kriesel. 1225-1232 [doi]
• The Nei's standard genetic distance in artificial evolutionYoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda. 1233-1239 [doi]
• On geometric and statistical properties of the attractors of a generic evolutionary algorithmGerman Hernandez, Fernando Niño, Julian Garcia, Dipankar Dasgupta. 1240-1247 [doi]
• To understand one-dimensional continuous fitness landscapes by drift analysisJun He, Xin Yao, Qingfu Zhang. 1248-1253 [doi]
• Applying evolutionary algorithms to problems with noisy, time-consuming fitness functionsAnthony Di Pietro, R. Lyndon While, Luigi Barone. 1254-1261 [doi]
• Constructing dynamic test environments for genetic algorithms based on problem difficultyShengxiang Yang. 1262-1269 [doi]
• The impact of population sizes and diversity on the adaptability of evolution strategies in dynamic environmentsLutz Schönemann. 1270-1277 [doi]
• A genetic algorithm with gene dependent mutation probability for non-stationary optimization problemsRenato Tinós, André Carlos Ponce Leon Ferreira de Carvalho. 1278-1285 [doi]
• Benchmarking algorithms for dynamic travelling salesman problemsLishan Kang, Aimin Zhou, Robert I. McKay, Yan Li, Zhuo Kang. 1286-1292 [doi]
• On the performance of evolutionary algorithms with life-time adaptation in dynamic fitness landscapesRoger Eriksson, Björn Olsson. 1293-1300 [doi]
• Dynamic optimization of semantic annotation relevanceDario Bonino, Fulvio Corno, Giovanni Squillero. 1301-1308 [doi]
• Mutual information-based fitness functions for evolutionary circuit synthesisArturo Hernández Aguirre, Carlos A. Coello Coello. 1309-1316 [doi]
• Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesisBambang A. B. Sarif, Mostafa Abd-El-Barr, Sadiq M. Sait, Uthman S. Al-Saiari. 1317-1324 [doi]
• A hybrid deterministic/genetic test generator to improve fault effectiveness and reduce CPU time runAlfredo Cruz. 1325-1330 [doi]
• Reinforcement learning for procurement agents of factory of the futureBurak Simsek, Sahin Albayrak, Alexander Korth. 1331-1337 [doi]
• Autonomous local path planning for a mobile robot using a genetic algorithmKamran H. Sedighi, Kaveh Ashenayi, Theodore W. Manikas, Roger L. Wainwright, Heng-Ming Tai. 1338-1345 [doi]
• A GA-based integrated approach to model-assisted matching and pose estimation for automated visual inspection applicationsSubhas Hati, Somnath Sengupta. 1346-1353 [doi]
• EA-lect: an evolutionary algorithm for constructing logical rules to predict election into CooperstownDavid A. Cohen. 1354-1361 [doi]
• Parallel evolutionary programmingShisanu Tongchim, Xin Yao. 1362-1367 [doi]
• A hydro unit commitment model using genetic algorithmErinaldo F. Santos, Takaaki Ohishi. 1368-1374 [doi]
• Genetic algorithms for parallel code optimizationEnder Ozcan, Esin Onbasioglu. 1375-1381 [doi]
• Multimodal optimization using crowding-based differential evolutionRené Thomsen. 1382-1389 [doi]
• Optimal PSO for collective robotic search applicationsSheetal Doctor, Ganesh K. Venayagamoorthy, Venu G. Gudise. 1390-1395 [doi]
• A constraint-handling mechanism for particle swarm optimizationGregorio Toscano Pulido, Carlos A. Coello Coello. 1396-1403 [doi]
• Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimizationSanaz Mostaghim, Jürgen Teich. 1404-1411 [doi]
• Particle swarm optimization algorithm for single machine total weighted tardiness problemMehmet Fatih Tasgetiren, Mehmet Sevkli, Yun-Chia Liang, Gunes Gencyilmaz. 1412-1419 [doi]
• A platform for evolving characters in competitive gamesDavid B. Fogel, Timothy J. Hays, Douglas R. Johnson. 1420-1426 [doi]
• Evolving strategies in blackjackDavid B. Fogel. 1427-1434 [doi]
• The knight's tour - evolutionary vs. depth-first searchV. Scott Gordon, Terrill J. Slocum. 1435-1440 [doi]
• Learning to play like a human: case injected genetic algorithms for strategic computer gamingChris Miles, Sushil J. Louis, Nicholas Cole, John R. McDonnell. 1441-1448 [doi]
• A heuristic algorithm for the stochastic vehicle routing problems with soft time windowsZigang G. Guo, K. L. Mak. 1449-1456 [doi]
• A new approach to the traveling salesman problem using genetic algorithms with priority encodingJyh-Da Wei, Der-Tsai Lee. 1457-1464 [doi]
• Criteria for designing crossovers for TSPYuichi Nagata. 1465-1472 [doi]
• A hybrid evolutionary algorithm for traveling salesman problemChristopher M. White, Gary G. Yen. 1473-1478 [doi]
• Hybrid heuristic and mathematical programming in oil pipelines networksJesús Manuel de la Cruz, José Luis Risco-Martín, Alberto Herran-Gonzales, Pablo Fernández-Blanco. 1479-1486 [doi]
• A review of evolutionary multiobjective optimization applications in the area of production researchChristos Dimopoulos. 1487-1494 [doi]
• A hybrid MOEA for the capacitated exam proximity problemTony Wong, Pascal Côté, Robert Sabourin. 1495-1501 [doi]
• Multi-objective fast messy genetic algorithm solving deception problemsRichard O. Day, Mark P. Kleeman, Gary B. Lamont. 1502-1509 [doi]
• On the design of state-of-the-art pseudorandom number generators by means of genetic programmingJulio César Hernández Castro, André Seznec, Pedro Isasi. 1510-1516 [doi]
• Searching for cost functionsJohn A. Clark, Jeremy L. Jacob, Susan Stepney. 1517-1524 [doi]
• Multi-objective optimisation of bijective s-boxesJoanne Fuller, William Millan, Ed Dawson. 1525-1532 [doi]
• The design of s-boxes by simulated annealingJohn A. Clark, Jeremy L. Jacob, Susan Stepney. 1533-1537 [doi]
• Autonomous controller design for unmanned aerial vehicles using multi-objective genetic programmingChoong K. Oh, Gregory J. Barlow. 1538-1545 [doi]
• A hierarchical approach for adaptive humanoid robot controlHongwei Liu, Hitoshi Iba. 1546-1553 [doi]
• A high-throughput computing environment for job shop scheduling (JSP) genetic algorithmsPaul Walsh, Pio Fenton. 1554-1560 [doi]
• A self-adaptive negative selection approach for anomaly detectionLuis J. Gonzales, James Cannady. 1561-1568 [doi]
• Evolution strategies with controlled model assistanceHolger Ulmer, Felix Streichert, Andreas Zell. 1569-1576 [doi]
• Performance of kriging and cokriging based surrogate models within the unified framework for surrogate assisted optimizationKok Sung Won, Tapabrata Ray. 1577-1585 [doi]
• Hierarchical surrogate-assisted evolutionary optimization frameworkZongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair. 1586-1593 [doi]
• Voronoi-based estimation of distribution algorithm for multi-objective optimizationTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer. 1594-1601 [doi]
• Nonlocal evolutionary adaptation in gridplantsDavid Doty. 1602-1609 [doi]
• Coevolutionary TEMPO gameRodney W. Johnson, Michael E. Melich, Zbigniew Michalewicz, Martin Schmidt. 1610-1617 [doi]
• Coevolution and TartarusDaniel Ashlock, Stephen J. Willson, Nicole P. Leahy. 1618-1624 [doi]
• Co-evolution of strategies for an n-player dilemmaColm O'Riordan, Josephine Griffith, John Newell, Humphrey Sorensen. 1625-1630 [doi]
• A memetic co-clustering algorithm for gene expression profiles and biological annotationNora Speer, Christian Spieth, Andreas Zell. 1631-1638 [doi]
• Chemical genetic programming - evolution of amino acid rewriting rules used for genotype-phenotype translationWojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai. 1639-1646 [doi]
• A computational approach to detect regulatory elements in Dictyostelium discoideumDaekwan Seo, Moritoshi Yasunaga, Jung Hwan Kim. 1647-1653 [doi]
• A genetic algorithm applied to optimal gene subset selectionShengchao Ding, Juan Liu, Chanle Wu, Qing Yang. 1654-1660 [doi]
• Elevator group supervisory control systems using genetic network programmingToru Eguchi, Kotaro Hirasawa, Jinglu Hu, Sandor Markon. 1661-1667 [doi]
• Genetic algorithms and cellular automata: a new architecture for traffic light cycles optimizationJavier J. Sánchez Medina, Manuel J. Galán, Enrique Rubio. 1668-1674 [doi]
• Cabling and scheduling for electric power plant operation via Tabu-BOA algorithmYuji Katsumata, Takao Terano. 1675-1682 [doi]
• A genetic algorithm for optimizing switching sequence of service restoration in distribution systemsIsamu Watanabe, Makoto Nodu. 1683-1690 [doi]
• Hyper-heuristics applied to class and exam timetabling problemsPeter Ross, Javier G. Marín-Blázquez, Emma Hart. 1691-1698 [doi]
• Interactive multi-participant tour allocationPablo Funes, Eric Bonabeau, Jerome Herve, Yves Morieux. 1699-1705 [doi]
• A scouting-inspired evolutionary algorithmJeffrey O. Pfaffmann, Konstantinos Bousmalis, Silvano Colombano. 1706-1712 [doi]
• On taxonomy of evolutionary computation problemsDaniel Ashlock, Kenneth M. Bryden, Steven M. Corns. 1713-1719 [doi]
• Self adaptation of operator rates for multimodal optimizationJonatan Gomez. 1720-1726 [doi]
• A framework for evolving fuzzy ruleJonatan Gomez. 1727-1734 [doi]
• Subspace FDC for sharing distance estimationJian Zhang 0007, Xiaohui Yuan, Bill P. Buckles. 1735-1742 [doi]
• The effect of kinship cooperation learning strategy and culture on the resilience of social systems in the village multi-agent simulationZiad Kobti, Robert G. Reynolds, Timothy A. Kohler. 1743-1750 [doi]
• Cultural algorithms: knowledge learning in dynamic environmentsBin Peng, Robert G. Reynolds. 1751-1758 [doi]
• GENACE: an efficient cultural algorithm for solving the flexible job-shop problemNhu Binh Ho, Joc Cing Tay. 1759-1766 [doi]
• The effect of noise on the performance of cultural evolution in multi-agent systemsDara Curran, Colm O'Riordan. 1767-1773 [doi]
• An agent-based hydrogen vehicle/infrastructure modelCraig Stephan, John Sullivan. 1774-1779 [doi]
• Using cultural algorithms to evolve strategies for recessionary marketsDavid A. Ostrowski, Robert G. Reynolds. 1780-1785 [doi]
• Evolutionary recovery of electronic circuits from radiation induced faultsAdrian Stoica, Didier Keymeulen, Vu Duong, Ricardo Salem Zebulum, Ian Ferguson, Taher Daud, Tughrul Arslan, Xin Guo. 1786-1793 [doi]
• Enhanced simulated evolution algorithm for digital circuit design yielding faster execution in a larger solution spaceSadiq M. Sait, Muhammad Al-Ismail. 1794-1799 [doi]
• Evolution in materio: a tone discriminator in liquid crystalSimon Harding, Julian F. Miller. 1800-1807 [doi]
• Some lessons learned on constructing an automated testbench for evolvable hardware experimentsDavid Hunter. 1808-1812 [doi]
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• Punctuated anytime learning for evolving multi-agent capture strategiesH. Joseph Blumenthal, Gary B. Parker. 1820-1827 [doi]
• Layered learning for evolving goal scoring behaviour in soccer playersAndrei Bajurnow, Vic Ciesielski. 1828-1835 [doi]
• On designing CO$T: a new approach and programming environment for distributed problem solving based on evolutionary computation and anytime algorithmsEugene Eberbach, Andrew Eberbach. 1836-1843 [doi]
• Program induction: building a wallDaniel Ashlock, James I. Lathrop. 1844-1850 [doi]
• Labeled-GA with adaptive mutation ratePitoyo Hartono, Shuji Hashimoto, Mattias Wahde. 1851-1858 [doi]
• Simulation of floral specialization in beesDaniel Ashlock, Jessica Oftelie. 1859-1864 [doi]
• CODEGEN: the generation and testing of DNA code wordsDaniel E. Kephart, Jeff LeFevre. 1865-1873 [doi]
• A multicriteria genetic algorithm to analyze microarray dataMohamed Khabzaoui, Clarisse Dhaenens, El-Ghazali Talbi. 1874-1881 [doi]
• A probabilistic analysis of in vitro selection of independent DNA words for computationMaryam S. Nuser, Russell J. Deaton. 1882-1888 [doi]
• Soundness and quality of semantic retrieval in DNA-based memories with abiotic dataAndrew Neel, Max H. Garzon, Phani Penumetsa. 1889-1895 [doi]
• Fredkin gate circuits via recombination enzymesDavid Harlan Wood, Junghuei Chen. 1896-1900 [doi]
• A new cellular automaton: five elements balance chart and its application to forest industry ecosystemCheng-Hsiung Chiang, Liang-Hsuan Chen. 1901-1908 [doi]
• Clonal selection algorithm with operator multiplicityAdnan Acan. 1909-1915 [doi]
• Heuristics for ant colony optimisation using the generalised assignment problemMarcus Randall. 1916-1923 [doi]
• Multiobjective ant colony search algorithm optimal electrical distribution system planningMariano Giuseppe Ippolito, Eleonora Riva Sanseverino, Ferruccio Vuinovich. 1924-1931 [doi]
• Multi-level ant colony algorithm for optimal placement of capacitors in distribution systemsRajeev Annaluru, Sanjoy Das, Anil Pahwa. 1932-1937 [doi]
• Trusted routing in ad-hoc networks using pheromone trailsAsad Amir Pirzada, Amitava Datta, Chris McDonald. 1938-1943 [doi]
• A hierarchical evolutionary approach to multi-objective optimizationChristine L. Mumford. 1944-1951 [doi]
• Parallelizing multi-objective evolutionary algorithms: cone separationJürgen Branke, Hartmut Schmeck, Kalyanmoy Deb, Reddy S. Maheshwar. 1952-1957 [doi]
• Improving the performance of evolutionary algorithms for the multiobjective 0/1 knapsack problem using ϵ -dominanceCrina Grosan. 1958-1963 [doi]
• Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networksShivanajay Marwaha, Dipti Srinivasan, Chen-Khong Tham, Athanasios Vasilakos. 1964-1971 [doi]
• Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genesKit Yan Chan, Mehmet Emin Aydin, Terry C. Fogarty. 1972-1979 [doi]
• A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problemsJakob Vesterstrom, René Thomsen. 1980-1987 [doi]
• A comparison of distributed restricted recombination operators for genetic and evolutionary societies of hill-climbers: a DisACSP perspectiveFuning Zhang, Gerry V. Dozier. 1988-1995 [doi]
• Study on the behaviour and implementation of parent centric crossover within the generalized generation gap modelTapabrata Ray, Neelakantam Venkatarayalu, Kok Sung Won, Kian Ping Chan. 1996-2003 [doi]
• High performance clustering with differential evolutionSandra Paterlini, Thiemo Krink. 2004-2011 [doi]
• Handling equality constraints by adaptive relaxing rule for swarm algorithmsXiao-Feng Xie, Wen-Jun Zhang 0002, De-Chun Bi. 2012-2016 [doi]
• Optimizing semiconductor devices by self-organizing particle swarmXiao-Feng Xie, Wen-Jun Zhang 0002, De-Chun Bi. 2017-2022 [doi]
• Parallel differential evolutionDimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis. 2023-2029 [doi]
• Cooperation and communication in evolving artificial societiesP. C. Buzing, A. E. Eiben, Martijn C. Schut, T. Toma. 2030-2037 [doi]
• Evolution of communication in a genetic based multi-agent system: use wise resourcesGilles Énée, Cathy Escazut. 2038-2044 [doi]
• The effect of tag recognition on non-local adaptationDaniel Ashlock, Brad Powers. 2045-2051 [doi]
• An investigation of an evolutionary approach to the opening of GoGraham Kendall, Razali Yaakob, Philip Hingston. 2052-2059 [doi]
• An evolutionary algorithm taking account of mutual interactions among substances for inference of genetic networksIsao Ono, Yoshiaki Seike, Ryohei Morishita, Norihiko Ono, Masahiko Nakatsui, Masahiro Okamoto. 2060-2067 [doi]
• Use of clustering to improve the layout of gene network for visualizationNasimul Noman, Kouichi Okada, Naoki Hosoyama, Hitoshi Iba. 2068-2075 [doi]
• Selection of the most useful subset of genes for gene expression-based classificationTopon Kumar Paul, Hitoshi Iba. 2076-2083 [doi]
• A multi-objective GA-simplex hybrid approach for gene regulatory network modelsPraveen Koduru, Sanjoy Das, Stephen M. Welch, Judith L. Roe. 2084-2091 [doi]
• Texture analysis by genetic programmingAndy Song, Vie Ciesielski. 2092-2099 [doi]
• Face detection using quantum-inspired evolutionary algorithmJun-Su Jang, Kuk-Hyun Han, Jong-Hwan Kim. 2100-2106 [doi]
• Combining Adaboost learning and evolutionary search to select features for real-time object detectionAndré Treptow, Andreas Zell. 2107-2113 [doi]
• Evolving artificial neural network structures: experimental results for biologically-inspired adaptive mutationsDamon A. Miller, Rodrigo Arguello, Garrison W. Greenwood. 2114-2119 [doi]
• An effective evolutionary strategy for bijective S-boxesHua Chen, Dengguo Feng. 2120-2123 [doi]
• New results on the genetic cryptanalysis of TEA and reduced-round versions of XTEAJulio César Hernández Castro, Pedro Isasi. 2124-2129 [doi]
• Secure evolutionary hardware for public-key cryptosystemsNadia Nedjah, Luiza de Macedo Mourelle. 2130-2137 [doi]
• Block cipher based on reversible cellular automataMarcin Seredynski, Pascal Bouvry. 2138-2143 [doi]
• Tournament versus fitness uniform selectionShane Legg, Marcus Hutter, Akshat Kumar. 2144-2151 [doi]
• The influence of grid shape and asynchronicity on cellular evolutionary algorithmsBernabé Dorronsoro, Enrique Alba, Mario Giacobini, Marco Tomassini. 2152-2158 [doi]
• An angular distance dependent alternation model for real-coded genetic algorithmsOsamu Takahashi, Shigenobu Kobayashi. 2159-2165 [doi]
• Non-deterministic decoding with memory to enhance precision in binary-coded genetic algorithmsOrhan Dengiz, Gerry V. Dozier, Alice E. Smith. 2166-2172 [doi]
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• Asymmetric cell division in artificial evolutionPeter Eggenberger Hotz. 2180-2186 [doi]
• On the relative efficacies of space saving *CGAs for evolvable hardware applicationsSaranyan Vigraham, John C. Gallagher. 2187-2193 [doi]
• Genetic algorithm based synthesis of multi-output ternary functions using quantum cascade of generalized ternary gatesMozammel H. A. Khan, Marek A. Perkowski. 2194-2201 [doi]
• Evolutionary construction of a simulator for real robotsShotaro Kamio, Hitoshi Iba. 2202-2209 [doi]
• An evolutionary algorithm for multi-robot unsupervised learningPhilippe Lucidarme. 2210-2215 [doi]
• Partial recombination for the co-evolution of model parametersGary B. Parker. 2216-2223 [doi]
• Trajectory generation and accumulation for partner robots based on structured learningYusuke Nojima, Naoyuki Kubota, Fumio Kojima. 2224-2229 [doi]
• Generalized LDA using relevance weighting and evolution strategyE. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao. 2230-2234 [doi]
• Evolution strategies for multivariate-to-anything partially specified random vector generationStephen A. Stanhope. 2235-2240 [doi]
• Maintaining diversity and increasing the accuracy of classification rules through automatic speciationAlexander F. Tulai, Franz Oppacher. 2241-2249 [doi]
• An evolutionary algorithm method for sampling n-partite graphsMichel L. Goldstein, Gary G. Yen. 2250-2257 [doi]
• Cascaded GP models for data miningPeter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood. 2258-2264 [doi]
• An event-driven test framework for evolutionary algorithms in dynamic environmentsA. Sima Etaner-Uyar, H. Turgut Uyar. 2265-2272 [doi]
• Evolutionary control of Lsystem interpretationDaniel Ashlock, Kenneth M. Bryden. 2273-2279 [doi]
• Adaptive probabilities of crossover and mutation in genetic algorithms based on clustering techniqueJun Zhang, H. S. H. Chung, B. J. Hu. 2280-2287 [doi]
• Statistical exploratory analysis of genetic algorithms: the importance of interactionAndrew Czarn, Cara MacNish, Kaipillil Vijayan, Berwin A. Turlach. 2288-2295 [doi]
• Iterative parallel and distributed genetic algorithms with biased initial populationMorikazu Nakamura, Naruhiko Yamashiro, Yiyuan Gong. 2296-2301 [doi]
• Non-standard cost terminal assignment problems using tabu search approachYong Xu, Sancho Salcedo-Sanz, Xin Yao. 2302-2306 [doi]
• Handling boundary constraints for numerical optimization by particle swarm flying in periodic search spaceWen-Jun Zhang 0002, Xiao-Feng Xie, De-Chun Bi. 2307-2311 [doi]
• Evolutionary design, robustness and of sidewinding locomotion of simulated libmless wheelless robot [libmless read limbless]Ivan Tanev, Thomas S. Ray, Andrzej Buller. 2312-2319 [doi]
• Hierarchical evolutionary synthesis of MEMSZhun Fan, Erik D. Goodman, Jiachuan Wang, Ronald C. Rosenberg, Kisung Seo, Jianjun Hu. 2320-2327 [doi]
• Bi-criteria model for locating a semi-desirable facility on a plane using particle swarm optimizationHaluk Yapicioglu, Gerry V. Dozier, Alice E. Smith. 2328-2334 [doi]
• A novel memetic algorithm with random multi-local-search: a case study of TSPPeng Zou, Zhi Zhou, Guoliang Chen, Xin Yao. 2335-2340 [doi]
• Towards a bounded Pareto-coevolution archiveEdwin D. de Jong. 2341-2348 [doi]
• Modeling coevolutionary genetic algorithms on two-bit landscapes: partnering strategiesMing Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama. 2349-2356 [doi]
• Swarm guidance using a multi-objective co-evolutionary on-Line evolutionary algorithmEvan J. Hughes. 2357-2363 [doi]
• Alternative fuel adoptionJon J. Brewster, Robert G. Reynolds. 2364-2371 [doi]