genetic programming - researchr tag

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2012

A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation modelsBirkan Can, Cathal Heavey. cor, 39(2):424-436, 2012. [doi]

2011

On the application of genetic programming for software engineering predictive modeling: A systematic reviewWasif Afzal, Richard Torkar. eswa, 38(9):11984-11997, 2011. [doi]

A Sniffer Technique for an Efficient Deduction of Model Dynamical Equations Using Genetic ProgrammingDilip P. Ahalpara, Abhijit Sen. eurogp 2011: 1-12 [doi]

Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and SwellsCarlos Almeida, Nelson Kagan. expert, 26(2):46-53, 2011. [doi]

Variance based selection to improve test set performance in genetic programmingR. Muhammad Atif Azad, Conor Ryan. gecco 2011: 1315-1322 [doi]

Evolving board-game players with genetic programmingAmit Benbassat, Moshe Sipper. gecco 2011: 739-742 [doi]

Evolving ensembles in multi-objective genetic programming for classification with unbalanced dataUrvesh Bhowan, Mark Johnston, Mengjie Zhang. gecco 2011: 1331-1338 [doi]

Triaxial behavior of sand-mica mixtures using genetic programmingAli Firat Cabalar, Abdulkadir Çevik. eswa, 38(8):10358-10367, 2011. [doi]

A Parallel Genetic Programming Algorithm for ClassificationAlberto Cano, Amelia Zafra, Sebastián Ventura. HAIS 2011: 172-181 [doi]

A Quantitative Study of Learning and Generalization in Genetic ProgrammingMauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi. eurogp 2011: 25-36 [doi]

Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programmingKit Yan Chan, C. K. Kwong, Tharam Singh Dillon, Y. C. Tsim. asc, 11(2):1648-1656, 2011. [doi]

Efficient synthesis of a class of Boolean programs from I-O data: Application to genetic networksRuth Charney, Jacques Cohen, Aurélien Rizk. DAM, 159(6):410-419, 2011. [doi]

Applying Genetic Programming for Estimating Software Development Effort of Short-scale ProjectsArturo Chavoya, Cuauhtémoc López Martín, M. E. Meda-Campa. itng 2011: 174-179 [doi]

Is Genetic Programming Human-Competitive ? The Case of Experimental Double Auction MarketsShu-Heng Chen, Kuo-Chuan Shik. ideal 2011: 116-126 [doi]

Evolving CUDA PTX programs by quantum inspired linear genetic programmingLeandro F. Cupertino, Cleomar P. Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes. gecco 2011: 399-406 [doi]

Semi-supervised genetic programming for classificationFilipe de Lima Arcanjo, Gisele L. Pappa, Paulo Viana Bicalho, Wagner Meira Jr., Altigran Soares da Silva. gecco 2011: 1259-1266 [doi]

A Preliminary Analysis and Simulation of Load Balancing Techniques Applied to Parallel Genetic ProgrammingFrancisco Fernández de Vega, J. G. Abengózar Sánchez, Carlos Cotta. iwann 2011: 308-315 [doi]

Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic ProgrammingJefersson Alex dos Santos, André Tavares da Silva, Ricardo da Silva Torres, Alexandre X. Falcão, Léo Pini Magalhães, Rubens A. C. Lamparelli. caip 2011: 300-307 [doi]

Caching for parallel linear genetic programmingCarlton Downey, Mengjie Zhang. gecco 2011: 201-202 [doi]

Parallel Linear Genetic ProgrammingCarlton Downey, Mengjie Zhang. eurogp 2011: 178-189 [doi]

Computational complexity analysis of simple genetic programming on two problems modeling isolated program semanticsGreg Durrett, Frank Neumann, Una-May O Reilly. foga 2011: 69-80 [doi]

Dynamic ant: introducing a new benchmark for genetic programming in dynamic environmentsDavid Fagan, Miguel Nicolau, Erik Hemberg, Michael O Neill, Anthony Brabazon. gecco 2011: 183-184 [doi]

A Continuous Approach to Genetic ProgrammingCyril Fonlupt, Denis Robilliard. eurogp 2011: 335-346 [doi]

Bloat control in genetic programming with a histogram-based accept-reject methodMarc-André Gardner, Christian Gagné, Marc Parizeau. gecco 2011: 187-188 [doi]

Internal combustion engine control for series hybrid electric vehicles by parallel and distributed genetic programming/multiobjective genetic algorithmsDan Gladwin, Paul Stewart, Jill Stewart. ijsysc, 42(2):249-261, 2011. [doi]

Automatic feature extraction using genetic programming: An application to epileptic EEG classificationLing Guo, Daniel Rivero, Julian Dorado, Cristian R. Munteanu, Alejandro Pazos. eswa, 38(8):10425-10436, 2011. [doi]

Application of genetic programming for modelling of material characteristicsLeo Gusel, Miran Brezocnik. eswa, 38(12):15014-15019, 2011. [doi]

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NETSimon Harding, Wolfgang Banzhaf. gecco 2011: 463-470 [doi]

SMCGP2: self modifying cartesian genetic programming in two dimensionsSimon Harding, Julian F. Miller, Wolfgang Banzhaf. gecco 2011: 1491-1498 [doi]

A symbolic regression approach to manage femtocell coverage using grammatical genetic programmingErik Hemberg, Lester T. W. Ho, Michael O Neill, Holger Claussen. gecco 2011: 639-646 [doi]

Genetic programming of the stochastic interpolation framework: convection-diffusion equationDaniel Howard, Adrian Brezulianu, Joseph Kolibal. soco, 15(1):71-78, 2011. [doi]

Capturing expert knowledge of mesh refinement in numerical methods of impact analysis by means of genetic programmingDaniel Howard, Adrian Brezulianu. soco, 15(1):103-110, 2011. [doi]

A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programmingChih-Ming Hsu. eswa, 38(11):14026-14036, 2011. [doi]

Robustness, Evolvability, and Accessibility in Linear Genetic ProgrammingTing Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore. eurogp 2011: 13-24 [doi]

Multi-objective Genetic Programming for Visual AnalyticsIlknur Icke, Andrew Rosenberg. eurogp 2011: 322-334 [doi]

Mutation as a diversity enhancing mechanism in genetic programmingDavid Jackson. gecco 2011: 1371-1378 [doi]

Long memory time series forecasting by using genetic programmingEmiliano Carreño Jara. gpem, 12(4):429-456, 2011. [doi]

Soil liquefaction modeling by Genetic Expression Programming and Neuro-FuzzyC. Kayadelen. eswa, 38(4):4080-4087, 2011. [doi]

Evolution of Cartesian Genetic Programs for Development of Learning Neural ArchitectureGul Muhammad Khan, Julian F. Miller, David M. Halliday. ec, 19(3):469-523, 2011. [doi]

Structural difficulty in estimation of distribution genetic programmingKangil Kim, MinHyeok Kim, Bob McKay. gecco 2011: 1459-1466 [doi]

Operator Self-adaptation in Genetic ProgrammingMinHyeok Kim, Robert Ian (Bob) McKay, Nguyen Xuan Hoai, Kangil Kim. eurogp 2011: 215-226 [doi]

Semantically embedded genetic programming: automated design of abstract program representationsKrzysztof Krawiec. gecco 2011: 1379-1386 [doi]

PAC learning and genetic programmingTimo Kötzing, Frank Neumann, Reto Spöhel. gecco 2011: 2091-2096 [doi]

Defining locality as a problem difficulty measure in genetic programmingEdgar Galván López, James McDermott, Michael O Neill, Anthony Brabazon. gpem, 12(4):365-401, 2011. [doi]

Graphics processing units and genetic programming: an overviewWilliam B. Langdon. soco, 15(8):1657-1669, 2011. [doi]

Generalisation in genetic programmingWilliam B. Langdon. gecco 2011: 205-206 [doi]

A Peer-to-Peer Approach to Genetic ProgrammingJuan Luís Jiménez Laredo, Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Maribel García Arenas, Juan Julián Merelo Guervós. eurogp 2011: 108-117 [doi]

Use of infeasible individuals in probabilistic model building genetic network programmingXianneng Li, Shingo Mabu, Kotaro Hirasawa. gecco 2011: 601-608 [doi]

Genetic programming with a norm-referenced fitness functionGeng Li, Xiao-Jun Zeng. gecco 2011: 1323-1330 [doi]

Optimal Design of a Multi-State Weighted Series-Parallel System Using Physical Programming and Genetic AlgorithmsWei Li, Ming J. Zuo, Ramin Moghaddass. apjor, 28(4):543-562, 2011. [doi]

Psychometric augmentation of an interactive genetic algorithm for optimizing cochlear implant programsSean K. R. Lineaweaver, Gregory H. Wakefield. gecco 2011: 1755-1762 [doi]

A Self-scaling Instruction Generator Using Cartesian Genetic ProgrammingYang Liu, Gianluca Tempesti, James Alfred Walker, Jon Timmis, Andrew M. Tyrrell, Paul Bremner. eurogp 2011: 298-309 [doi]

Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generationShingo Mabu, Kotaro Hirasawa. gecco 2011: 1659-1666 [doi]

Optimal depth estimation by combining focus measures using genetic programmingM. Tariq Mahmood, Abdul Majid, Tae-Sun Choi. isci, 181(7):1249-1263, 2011. [doi]

Programming of memristor crossbars by using genetic algorithmFarnood Merrikh-Bayat, Saeed Bagheri Shouraki. procedia, 3:232-237, 2011. [doi]

GECCO 2011 tutorial: cartesian genetic programmingJulian F. Miller, Simon L. Harding. gecco 2011: 1261-1284 [doi]

Penalty Functions for Genetic Programming AlgorithmsJosé L. Montaña, César Luis Alonso, Cruz Enrique Borges, Javier de la Dehesa. iccsa 2011: 550-562 [doi]

Geometric nelder-mead algorithm on the space of genetic programsAlberto Moraglio, Sara Silva. gecco 2011: 1307-1314 [doi]

Forecasting monthly urban water demand using Extended Kalman Filter and Genetic ProgrammingMohsen Nasseri, Ali Moeini, Massoud Tabesh. eswa, 38(6):7387-7395, 2011. [doi]

Dynamic environments can speed up evolution with genetic programmingMichael O Neill, Miguel Nicolau, Anthony Brabazon. gecco 2011: 191-192 [doi]

A genetic programming based hyper-heuristic approach for combinatorial optimisationSu Nguyen, Mengjie Zhang, Mark Johnston. gecco 2011: 1299-1306 [doi]

Evolutionary-computer-assisted design of image operators that detect interest points using genetic programmingGustavo Olague, Leonardo Trujillo. ivc, 29(7):484-498, 2011. [doi]

Genetic network programming with changing structures for a novel stock selection modelVictor Parque, Shingo Mabu, Kotaro Hirasawa. gecco 2011: 239-240 [doi]

Evolution of a Brain-Computer Interface Mouse via Genetic ProgrammingRiccardo Poli, Mathew Salvaris, Caterina Cinel. eurogp 2011: 203-214 [doi]

An Improved Heuristic for the Bandwidth Minimization Based on Genetic ProgrammingPetrica C. Pop, O. Matei. HAIS 2011: 67-74 [doi]

Fuzzy dynamical genetic programming in XCSFRichard Preen, Larry Bull. gecco 2011: 167-168 [doi]

Genetic Programming for Prediction of Water Flow and Transport of Solids in a BasinJuan R. Rabuñal, Jerónimo Puertas, Daniel Rivero, Ignacio Fraga, Luis Cea, Marta Garrido. iwinac 2011: 223-232 [doi]

Searching for invariants using genetic programming and mutation testingSam Ratcliff, David Robert White, John A. Clark. gecco 2011: 1907-1914 [doi]

Analysing structure in complex networks using quality functions evolved by genetic programmingFergal Reid, Neil J. Hurley. gecco 2011: 283-290 [doi]

On the automatic discovery of variants of the NEH procedure for flow shop scheduling using genetic programmingJosé Antonio Vázquez Rodríguez, Gabriela Ochoa. jors, 62(2):381-396, 2011. [doi]

HMXT-GP: an information-theoretic approach to genetic programming that maintains diversityHenry Santosa, John Milton, Paul J. Kennedy. SAC 2011: 1070-1075 [doi]

Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programmingMustafa Saridemir. eswa, 38(11):14257-14268, 2011. [doi]

Scaling up a hybrid genetic linear programming algorithm for statistical disclosure controlMartin C. Serpell, James E. Smith, Alistair R. Clark, Andrea T. Staggemeier. gecco 2011: 1675-1682 [doi]

Evolving associative classifier for incomplete database using genetic network programmingKaoru Shimada, Kotaro Hirasawa. gecco 2011: 165-166 [doi]

Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. ProceedingsSara Silva, James A. Foster, Miguel Nicolau, Penousal Machado, Mario Giacobini, editors, Volume 6621 of Lecture Notes in Computer Science, Springer, 2011. [doi]

Tag-based modules in genetic programmingLee Spector, Brian Martin, Kyle Harrington, Thomas Helmuth. gecco 2011: 1419-1426 [doi]

Incremental genetic programming via genetic transpositionIvan Tanev, Tüze Kuyucu, Katsunori Shimohara. gecco 2011: 19-20 [doi]

Designing Pheromone Update Strategies with Strongly Typed Genetic ProgrammingJorge Tavares, Francisco Baptista Pereira. eurogp 2011: 85-96 [doi]

Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic AlgorithmsArpit Tripathi, Pulkit Gupta, Aditya Trivedi, Rahul Kala. ijiit, 7(2):63-83, 2011. [doi]

Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat controlLeonardo Trujillo. soco, 15(8):1551-1567, 2011. [doi]

An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic ProgrammingLeonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi. eurogp 2011: 262-273 [doi]

Estimating Classifier Performance with Genetic ProgrammingLeonardo Trujillo, Yuliana Martínez, Patricia Melin. eurogp 2011: 274-285 [doi]

How many neurons?: a genetic programming answerLeonardo Trujillo, Yuliana Martínez, Patricia Melin. gecco 2011: 175-176 [doi]

Predicting problem difficulty for genetic programming applied to data classificationLeonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand. gecco 2011: 1355-1362 [doi]

Weighted operation structures to program strengths of concrete-typed specimens using genetic algorithmHsing-Chih Tsai. eswa, 38(1):161-168, 2011. [doi]

Modular neural network programming with genetic optimizationHsing-Chih Tsai, Yong-Huang Lin. eswa, 38(9):11032-11039, 2011. [doi]

Using weighted genetic programming to program squat wall strengths and tune associated formulasHsing-Chih Tsai. eaai, 24(3):526-533, 2011. [doi]

Early stopping criteria to counteract overfitting in genetic programmingClíodhna Tuite, Alexandros Agapitos, Michael O Neill, Anthony Brabazon. gecco 2011: 203-204 [doi]

The K landscapes: a tunably difficult benchmark for genetic programmingLeonardo Vanneschi, Mauro Castelli, Luca Manzoni. gecco 2011: 1467-1474 [doi]

Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning - CRC Press, 327 pp, ISBN: 978-1-4398-0369-1Kalyan Veeramachaneni. gpem, 12(2):179-180, 2011. [doi]

Morphological image enhancement procedure design by using genetic programmingJun Wang, Ying Tan. gecco 2011: 1435-1442 [doi]

A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis MethodJun Wang, Ying Tan. swarm 2011: 549-558 [doi]

Basic Object Oriented Genetic ProgrammingTony White, Jinfei Fan, Franz Oppacher. ieaaie 2011: 59-68 [doi]

Stock trading using linear genetic programming with multiple time framesGarnett Carl Wilson, Derek Leblanc, Wolfgang Banzhaf. gecco 2011: 1667-1674 [doi]

Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimationStephan M. Winkler, Michael Affenzeller, Stefan Wagner. gecco 2011: 195-196 [doi]

Accurate Construction of Consensus Genetic Maps via Integer Linear ProgrammingYonghui Wu, Timothy J. Close, Stefano Lonardi. tcbb, 8(2):381-394, 2011. [doi]

Rethinking multilevel selection in genetic programmingShelly Xiaonan Wu, Wolfgang Banzhaf. gecco 2011: 1403-1410 [doi]

A memory scheme for genetic network programming with adaptive mutationFengming Ye, Shingo Mabu, Kotaro Hirasawa. gecco 2011: 179-180 [doi]

Multiple Instance Learning with Multiple Objective Genetic Programming for Web MiningAmelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura. asc, 11(1):93-102, 2011. [doi]

A generic optimising feature extraction method using multiobjective genetic programmingYang Zhang, Peter Rockett. asc, 11(1):1087-1097, 2011. [doi]

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