Table of Contents

• Obstacle Identification by an Ultrasound Sensor Using Neural NetworksDaniel Diep, Anne Johannet, P. Bonnefoy, Franck Harroy. 1-5 [doi]
• A Modular Reinforcement Learning Architecture for Mobile Robot ControlR. Mark Rylatt, Chris A. Czarnecki, Tom W. Routen. 6-10 [doi]
• Timing without Time - An Experiment in Evolutionary RoboticsHenrik Hautop Lund. 11-15 [doi]
• Incremental Acquisition of Complex Behaviour by Structured EvolutionSimon Perkins, Gillian Hayes. 16-20 [doi]
• Evolving Neural Controllers for Robot ManipulatorsR. Salama, R. Owens. 21-25 [doi]
• Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators MotionJosé C. Riquelme, Miguel A. Ridao, Eduardo F. Camacho, Miguel Toro. 26-30 [doi]
• Ensembles of Neural Networks for Digital ProblemsDavid Philpot, Tim Hendtlass. 31-34 [doi]
• A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input VectorsA. Schmidt, Zuhair Bandar. 35-39 [doi]
• Principal Components Identify MLP Hidden Layer Size for Optimal Generalisation PerformanceM. Girolami. 40-43 [doi]
• Bernoulli Mixture Model of Experts for Supervised Pattern ClassificationN. Elhor, R. Bertrand, Denis Hamad. 44-48 [doi]
• Electric Load Forecasting with Genetic Neural NetworksFrancisco Javier Marín Martín, Francisco Sandoval 0001. 49-52 [doi]
• Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic AlgorithmGeoffrey T. Parks. 53-57 [doi]
• Using Artificial Neural Networks to Model Non-Linearity in a Complex SystemP. Weller, A. Thompson, R. Summers. 58-61 [doi]
• Transit Time Estimation by Artificial Neural NetworksT. Tambouratzis, M. Antonopoulos-Domis, Marzio Marseguerra, Enrico Padovani. 62-65 [doi]
• Evolving Asynchronous and Scalable Non-uniform Cellular AutomataMoshe Sipper, Marco Tomassini, Mathieu S. Capcarrère. 66-70 [doi]
• One-Chip Evolvable Hardware: 1C-EHWHugo de Garis. 71-77 [doi]
• Evolving Low-Level Vision Capabilities with the GENCODER Genetic Programming EnvironmentPatrick Ziemeck, Helge J. Ritter. 78-82 [doi]
• NLRFLA: A Supervised Learning Algorithm for the Development of Non-Linear Receptive FieldsS. L. Funk, I. Kumazawa, J. M. Kennedy. 83-87 [doi]
• Fuzzy-tuned Stochastic Scanpaths for AGV VisionIan J. Griffiths, Quasim H. Mehdi, Norman E. Gough. 88-92 [doi]
• On VLSI Implementation of Multiple Output Sequential Learning NetworksA. Bermak, Hervé Poulard. 93-97 [doi]
• Automated Parameter Selection for a Computer Simulation of Auditory Nerve Fibre Activity using Genetic AlgorithmsC. P. Wong, M. J. Pont. 98-102 [doi]
• Automatic Extraction of Phase and Frequency Information from Raw Voice DataStephen McGlinchey, Colin Fyfe. 103-106 [doi]
• A Speech Recognition System using an Auditory Model and TOM Neural NetworkE. Hartwich, F. Alexandre. 107-111 [doi]
• Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component AnalysisMark Girolami, Colin Fyfe. 112-115 [doi]
• Blind Source Separation via Unsupervised LearningBernd Freisleben, Claudia Hagen, Markus Borschbach. 116-120 [doi]
• Neural Networks for Higher-Order Spectral EstimationFa-Long Luo, Rolf Unbehauen. 121-125 [doi]
• Estimation of Fractal Signals by Wavelets and GAsH. Cai, Y. Li. 126-128 [doi]
• Classification of 3-D Dendritic Spines using Self-Organizing MapsG. Sommerkorn, Udo Seiffert, D. Surmeli, Andreas Herzog, Bernd Michaelis, Katharina Braun. 129-132 [doi]
• Neural Network Analysis of Hue Spectra from Natural ImagesC. Robertson, Graham M. Megson. 133-137 [doi]
• Detecting Small Features in SAR Images by an ANNIan Finch, Derek F. Yates, L. M. Delves. 138-142 [doi]
• Optimising Handwritten-Character Recognition with Logic Neural NetworksGeorge Tambouratzis. 143-146 [doi]
• Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input CorrelationsMaarten H. Lamers, Joost N. Kok, Erik Lebret. 147-151 [doi]
• A Hybrid Expert System Architecture for Medical DiagnosisLourdes Mattos Brasil, Fernando Mendes de Azevedo, Jorge Muniz Barreto. 152-156 [doi]
• Enhancing Connectionist Expert Systems by IAC Models through Real CasesN. A. Sigaki, Fernando Mendes de Azevedo, Jorge Muniz Barreto. 157-160 [doi]
• A Schema Theorem-Type Result for Multidimensional CrossoverMartin E. Balázs. 161-165 [doi]
• Möbius Crossover and Excursion Set Mediated Genetic AlgorithmsSubbiah Baskaran, David Noever. 166-170 [doi]
• The Single Chromosome's Guide to DatingM. Ratford, Andrew Tuson, H. Thompson. 171-174 [doi]
• A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter SelectionChih-Fong Tsai, C. G. D. Bowerman, John I. Tait, C. Bradford. 175-178 [doi]
• Walsh Functions and Predicting Problem ComplexityRobert B. Heckendorn. 179-182 [doi]
• Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary AlgorithmsHoward Copland, Tim Hendtlass. 183-187 [doi]
• Dual Genetic Algorithms and Pareto OptimizationManuel Clergue, Philippe Collard. 188-192 [doi]
• Multi-layered Niche FormationColin Fyfe. 193-197 [doi]
• Using Hierarchical Genetic Populations to Improve Solution QualityJohn R. Podlena, Tim Hendtlass. 198-201 [doi]
• A Redundant Representation for use by Genetic Algorithms on Parameter Optimisation ProblemsAlan J. Soper, P. F. Robbins. 202-205 [doi]
• A Genetic Algorithm for Learning Weights in a Similarity FunctionYong Wang, Naohiro Ishii. 206-209 [doi]
• Learning SCFGs from Corpora by a Genetic AlgorithmBill Keller, Rudi Lutz. 210-214 [doi]
• Adaptive Product Optimization and Simultaneous Customer Segmentation: A Hospitality Product Design Study with Genetic AlgorithmsE. Schifferl. 215-218 [doi]
• Genetic Algorithm Utilising Neural Network Fitness Evaluation for Musical CompositionAnthony Richard Burton, Tanya Vladimirova. 219-223 [doi]
• Analyses of Simple Genetic Algorithms and Island Model Parallel Genetic AlgorithmsTatsuya Niwa, Masaru Tanaka. 224-228 [doi]
• Supervised Parallel Genetic Algorithms in Aerodynamic OptimisationDenis J. Doorly, J. Peiró. 229-233 [doi]
• A Genetic Clustering Method for the Multi-Depot Vehicle Routing ProblemSaïd Salhi, Sam R. Thangiah, F. Rahman. 234-237 [doi]
• A Hybrid Genetic / Branch and Bound Algorithm for Integer ProgrammingAlan P. French, Andrew C. Robinson, John M. Wilson 0001. 238-240 [doi]
• Breeding Perturbed City Coordinates and Fooling Travelling Salesman Heuristic AlgorithmsR. Bradwell, Peter L. Williams, Christine L. Valenzuela. 241-244 [doi]
• Improvements on the Ant-System: Introducing the MAX-MIN Ant SystemThomas Stützle, Holger H. Hoos. 245-249 [doi]
• A Hybrid Genetic Algorithm for the 0-1 Multiple Knapsack ProblemCarlos Cotta, José M. Troya. 250-254 [doi]
• Genetic Algorithms in the Elevator Allocation ProblemJarmo T. Alander, J. Herajärvi, G. Moghadampour, Tapio Tyni, Jari Ylinen. 255-258 [doi]
• Generational and Steady-State Genetic Algorithms for Generator Maintenance Scheduling ProblemsKeshav P. Dahal, James R. McDonald. 259-263 [doi]
• Four Methods for Maintenance SchedulingEdmund K. Burke, J. A. Clarke, Alistair J. Smith. 264-269 [doi]
• A Genetic Algorithm for the Generic Crew Scheduling ProblemN. Ono, T. Tsugawa. 270-274 [doi]
• Genetic Algorithms and the Timetabling ProblemB. C. H. Turton. 275-280 [doi]
• Evolutionary Approaches to the Partition/Timetabling ProblemD. Corne. 281-284 [doi]
• Discovering Simple Fault-Tolerant Routing Rules by Genetic ProgrammingI. M. A. Kirkwood, S. H. Shami, Mark C. Sinclair. 285-288 [doi]
• The Ring-Loading and Ring-Sizing ProblemJ. W. Mann, G. D. Smith. 289-293 [doi]
• Evolutionary Computation Techniques for Telephone Networks Traffic Supervision Based on a Qualitative Stream Propagation ModelIsabelle Servet, Louise Travé-Massuyès, Daniel Stern. 294-298 [doi]
• NOMaD: Applying a Genetic Algorithm/Heuristic Hybrid Approach to Optical Network Topology DesignMark C. Sinclair. 299-303 [doi]
• Application of a Genetic Algorithm to the Availability-Cost Optimization of a Transmission Network TopologyBranko Mikac, Robert Inkret. 304-307 [doi]
• Breeding Permutations for Minimum Span Frequency AssignmentChristine L. Mumford, Antonia J. Jones, Steve Hurley. 308-311 [doi]
• A Practical Frequency Planning Technique for Cellular RadioT. Clark, G. D. Smith. 312-316 [doi]
• Chaotic Neurodynamics in the Frequency Assignment ProblemK. Dorkofikis, N. M. Stephens. 317-320 [doi]
• A Divide-and-Conquer Technique to Solve the Frequency Assignment ProblemA. T. Potter, N. M. Stephens. 321-324 [doi]
• Genetic Algorithm Based Software TestingJarmo T. Alander, Timo Mantere, P. Turunen. 325-328 [doi]
• An Evolutionary/Meta-Heuristic Approach to Emergency Resource Redistribution in the Developing WorldAndrew Tuson, R. Wheeler, Peter Ross. 329-332 [doi]
• Automated Design of Combinational Logic Circuits by Genetic AlgorithmsCarlos A. Coello Coello, Alan D. Christiansen, Arturo Hernández Aguirre. 333-336 [doi]
• Forecasting of the Nile River Inflows by Genetic AlgorithmsMohammed E. El-Telbany, Ashraf H. Abdel-Wahab, Samir I. Shaheen. 337-340 [doi]
• A Comparative Study of Neural Network Optimization TechniquesThomas Ragg, Heinrich Braun, Heiko Landsberg. 341-345 [doi]
• GA-RBF: A Self-Optimising RBF NetworkB. Burdsall, Christophe G. Giraud-Carrier. 346-349 [doi]
• Canonical Genetic Learning of RBF Networks Is FasterRoman Neruda. 350-353 [doi]
• The Baldwin Effect on the Evolution of Associative MemoryAkira Imada, Keijiro Araki. 354-358 [doi]
• Using Embryology as an Alternative to Genetic Algorithms for Designing Artificial Neural Network TopologiesChristopher MacLeod, Grant M. Maxwell. 359-363 [doi]
• Empirical Study of the Influences of Genetic Parameters in the Training of a Neural NetworkP. Gomes, F. Pereira, A. Silva. 364-367 [doi]
• Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as EncodingBernhard Sendhoff, Martin Kreutz. 368-372 [doi]
• Using Genetic Engineering To Find Modular Structures for Architectures of Artificial Neural NetworksChristoph M. Friedrich. 373-377 [doi]
• Evolutionary Learning of Recurrent Networks by Successive Orthogonal Inverse ApproximationsCédric Gégout. 378-383 [doi]
• Evolutionary Optimization of Neural Networks for Reinforcement Learning AlgorithmsHeinrich Braun, Thomas Ragg. 384-388 [doi]
• Generalising Experience in Reinforcement Learning: Performance in Partially Observable ProcessesCarlos H. C. Ribeiro. 389-392 [doi]
• Optimal Control of an Inverted Pendulum by Genetic Programming: Practical AspectsF. Gordillo, A. Bernal. 393-396 [doi]
• Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial DataShu-Heng Chen, Chih-Chi Ni. 397-400 [doi]
• A Canonical Genetic Algorithm Based Approach to Genetic ProgrammingFranz Oppacher, Mark Wineberg. 401-404 [doi]
• Is Genetic Programming Dependent on High-level Primitives?Dorothea Heiss-Czedik. 405-408 [doi]
• DGP: How To Improve Genetic Programming with DualsJean-Luc Ségapeli, Cathy Escazut, Philippe Collard. 409-413 [doi]
• Fitness Landscapes and Inductive Genetic ProgrammingVanio Slavov, Nikolay I. Nikolaev. 414-418 [doi]
• Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic ProgrammingRiccardo Poli. 419-423 [doi]
• A Neural Network Technique for Detecting and Modelling Residential Property Sub-MarketsOwen M. Lewis, J. Andrew Ware, David Harrison Jenkins. 424-427 [doi]
• Versatile Graph Planarisation via an Artificial Neural NetworkTatiana Tambouratzis. 428-431 [doi]
• Artificial Neural Networks for Generic Predictive MaintenanceC. Kirkham, T. Harris. 432-435 [doi]
• The Effect of Recurrent Networks on Policy Improvement in Polling SystemsHisashi Sato, Yutaka Matsumoto, Norio Okino. 436-439 [doi]
• EXPRESS - A Strategic Software System for Equity ValuationMikes Paul Foscolos, S. Nilchan. 440-444 [doi]
• Virtual Table Tennis and the Design of Neural Network PlayersD. d'Aulignac, A. Moschovinos, S. Lucas. 445-448 [doi]
• Investigating Arbitration Strategies in an Animat Navigation SystemN. R. Ball. 449-453 [doi]
• Sequence Clustering by Time Delay NetworksNicholas Mark Allott, Peter Halstead, P. Fazackerley. 454-458 [doi]
• Modeling Complex Symbolic Sequences with Neural Based SystemsPeter Tiño, V. Vojtek. 459-463 [doi]
• An Unsupervised Neural Method for Time Series Analysis, Characterisation and PredictionColin Fyfe. 464-467 [doi]
• Time-Series Prediction with Neural Networks: Combinatorial versus Sequential ApproachAndrej Dobnikar, Mira Trebar, B. Petelin. 468-472 [doi]
• A New Method for Defining Parameters to SETAR(2;k 1, k 2)-modelsJ. Kyngäs. 473-476 [doi]
• Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL NetworkDirk Husmeier, John G. Taylor. 477-481 [doi]
• An Artificial Neuron with Quantum Mechanical PropertiesDan Ventura, Tony R. Martinez. 482-485 [doi]
• Computation of Weighted Sum by Physical Wave Properties - Coding Problems by Unit PositionsItsuo Kumazawa, Y. Kure. 486-490 [doi]
• Some Analytical Results for a Recurrent Neural Network Producing OscillationsT. P. Fredman, Henrik Saxén. 491-494 [doi]
• Upper Bounds on the Approximation Rates of Real-valued Boolean Functions by Neural NetworksKaterina Hlavácková, Vera Kurková, Petr Savický. 495-499 [doi]
• A Method for Task Allocation in Modular Neural Network with an Information CriterionH. H. Kim, Y. Anzai. 500-504 [doi]
• A Meta Neural Network Polling System for the RPROP Learning RuleC. McCormack. 505-508 [doi]
• Designing Development Rules for Artificial EvolutionAlistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri. 509-513 [doi]
• Improved Center Point Selection for Probabilistic Neural NetworksD. Randall Wilson, Tony R. Martinez. 514-517 [doi]
• The Evolution of a Feedforward Neural Network trained under BackpropagationDavid McLean, Zuhair Bandar, James D. O'Shea. 518-522 [doi]
• Fuzzy Vector Bundles for Classification via Neural NetworksDavid William Pearson, Gérard Dray, N. Peton. 523-526 [doi]
• A Constructive Algorithm for Real Valued Multi-category Classification ProblemsHervé Poulard, Neil Hernandez. 527-531 [doi]
• Classification of Thermal Profiles in Blast Furnace Walls by Neural NetworksHenrik Saxén, Leif Lassus, Abhay B. Bulsari. 532-534 [doi]
• Geometrical Selection of Important Inputs with Feedforward Neural NetworksF. Rossi. 535-538 [doi]
• Classifier Systems Based on Possibility Distributions: A Comparative StudyS. Singh, Evor L. Hines, J. W. Gardner. 539-542 [doi]
• Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational NetworkH. L. Viktor, Ian Cloete. 543-546 [doi]
• Comparing a Variety of Evolutionary Algorithm Techniques on a Collection of Rule Induction TasksD. Corne. 547-550 [doi]
• An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural TreeKate Butchart, Neil Davey, R. G. Adams. 551-554 [doi]
• Experimental Results of a Michigan-like Evolution Strategy for Non-stationary ClusteringAna Isabel González, Manuel Graña, José Antonio Lozano, Pedro Larrañaga. 555-559 [doi]
• Excursion Set Mediated Evolutionary StrategySubbiah Baskaran, David Noever. 560-564 [doi]
• Use of Mutual Information to Extract Rules from Artificial Neural NetworksTayeb Nedjari. 565-569 [doi]
• Connectionism and Symbolism in SymbiosisNicholas Mark Allott, P. Fazackerley, Peter Halstead. 570-574 [doi]
• Genetic Design of Robust PID ControllersA. H. Jones, P. B. de Moura Oliveira. 575-578 [doi]
• Coevolutionary Process ControlJ. Paredis. 579-582 [doi]
• Cooperative Coevolution in Inventory Control OptimisationRoger Eriksson, Björn Olsson. 583-587 [doi]
• Dynamic Neural Nets in the State Space Utilized in Non-Linear Process IdentificationRoberto C. L. de Oliveira, Fernando Mendes de Azevedo, Jorge Muniz Barreto. 588-591 [doi]
• Distal Learning for Inverse Modeling of Dynamical SystemsAbdelmoumène Toudeft, Patrick Gallinari. 592-596 [doi]
• Genetic Algorithms in Structure Identification for NARX ModelsC. K. S. Ho, I. G. French, C. S. Cox, Ian Fletcher. 597-600 [doi]
• A Model-based Neural Network Controller for a Process Trainer Laboratory EquipmentB. Ribeiro, A. Cardoso. 601-605 [doi]
• MIMO Fuzzy Logic Control of a Liquid Level ProcessI. Wilson, I. G. French, Ian Fletcher, C. S. Cox. 606-610 [doi]
• A Practical Application of a Learning Classifier System in a Steel Hot Strip MillW. Browne, K. Holford, C. Moore, J. Bullock. 611-614 [doi]
• Multi-Agent Classifier Systems and the Iterated Prisoner's DilemmaK. Chalk, G. D. Smith. 615-618 [doi]
• Complexity Cost and Two Types of Noise in the Repeated Prisoner's DilemmaRobert Hoffmann, Nigel Waring. 619-623 [doi]