Terence C. Fogarty - researchr alias

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Viewing Publication 1 - 72 from 72

2010

Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliersKit Yan Chan, C. K. Kwong, Terence C. Fogarty. isci, 180(4):506-518, 2010. [doi]

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door designKit Yan Chan, C. K. Kwong, H. Jiang, Mehmet Emin Aydin, Terence C. Fogarty. eswa, 37(5):3853-3862, 2010. [doi]

2008

Genetic Algorithms with Dynamic Mutation Rates and their Industrial ApplicationsK. Y. Chan, Terence C. Fogarty, Mehmet Emin Aydin, S. H. Ling, Herbert H. C. Iu. ijcia, 7(2):103-128, 2008. [doi]

2006

Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location ProblemsKit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty. soco, 10(11):1075-1090, 2006. [doi]

2004

2003

2002

Co-evolutionary classifier systems for multi-agent simulationLuis Miramontes Hercog, Terence C. Fogarty. cec 2002: 1798-1803 [doi]

Genetic Control Applied to Asset ManagementsJames Cunha Werner, Terence C. Fogarty. eurogp 2002: 192-201 [doi]

2001

Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the El Farol Bar ProblemLuis Miramontes Hercog, Terence C. Fogarty. iwlcs 2002: 88-114 [doi]

2000

1999

The Evolution of Computation in Co-evolving Demes of Non-uniform Cellular Automata for Global SynchronisationVesselin K. Vassilev, Julian F. Miller, Terence C. Fogarty. ecal 1999: 159-169

Co-Evolving Demes of Non-Uniform Cellular Automata for SynchronisationVesselin K. Vassilev, Julian F. Miller, Terence C. Fogarty. eh 1999: 111-119 [doi]

On the Nature of Two-Bit Multiplier LandscapesVesselin K. Vassilev, Julian F. Miller, Terence C. Fogarty. eh 1999: 36-45 [doi]

1998

1997

Operator and parameter adaptation in genetic algorithmsJim Smith, Terence C. Fogarty. soco, 1(2):81-87, 1997. [doi]

Adaptive Combustion Balancing in Multiple Burner Boiler Using a Genetic Algorithm with Variable Range of Local SearchFrank Vavak, Ken Jukes, Terence C. Fogarty. icga 1997: 719-726

1996

Evolutionary Computing in Multi-Agent Environments: Specification and SymbiogenesisLarry Bull, Terence C. Fogarty. ppsn 1996: 12-21

Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic AlgorithmBrian Carse, Terence C. Fogarty. aisb 1996: 1-22

Tackling the Curse of Dimensionality of Radial Basis Functional Neural Networks Using a Genetic AlgorithmBrian Carse, Terence C. Fogarty. ppsn 1996: 710-719

Evolving fuzzy rule based controllers using genetic algorithmsBrian Carse, Terence C. Fogarty, Alistair Munro. fss, 80(3):273-293, 1996. [doi]

Evolving Software Test Data - GA s learn Self ExpressionJim Smith, Terence C. Fogarty. aisb 1996: 137-146

Recombination Strategy Adaptation via Evolution of Gene LinkageJim Smith, Terence C. Fogarty. icec 1996: 826-831

Adaptively Parameterised Evolutionary Systems: Self-Adaptive Recombination and Mutation in a Genetic AlgorithmJim Smith, Terence C. Fogarty. ppsn 1996: 441-450

Self Adaptation of Mutation Rates in a Steady State Genetic AlgorithmJim Smith, Terence C. Fogarty. icec 1996: 318-323

Comparison of Steady State and Generational Genetic Algorithms for Use in Nonstationary EnvironmentsFrank Vavak, Terence C. Fogarty. icec 1996: 192-195

A Comparative Study of Steady State and Generational Genetic AlgorithmsFrank Vavak, Terence C. Fogarty. aisb 1996: 297-304

A Genetic Algorithm with Variable Range of Local Search for Tracking Changing EnvironmentsFrank Vavak, Terence C. Fogarty, Ken Jukes. ppsn 1996: 376-385

1995

Artificial SymbiogenesisLarry Bull, Terence C. Fogarty. alife, 2(3):269-292, 1995.

Artificial EndosymbiosisLarry Bull, Terence C. Fogarty, Anthony G. Pipe. ecal 1995: 273-289

Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal RobotLarry Bull, Terence C. Fogarty, M. Snaith. icga 1995: 382-388

Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication NetworksBrian Carse, Terence C. Fogarty, Alistair Munro. aisb 1995: 103-116

Adaptive Distributed Routing Using Evolutionary Fuzzy ControlBrian Carse, Terence C. Fogarty, Alistair Munro. icga 1995: 389-396

Use of the Genetic Algorithm for Load Balancing of Sugar Beet PressesTerence C. Fogarty, Frank Vavak, Phillip Cheng. icga 1995: 617-624

Classifier Systems: Selectionist Reinforcement Learning, Fuzzy Rules and CommunicationTerence C. Fogarty, Brian Carse, Larry Bull. bies 1995: 69-75

Broadcast Based Fitness Sharing GA for Conflict Resolution Among Autonomous RobotsSadayoshi Mikami, Yukinori Kakazu, Terence C. Fogarty. aisb 1995: 40-47

Co-operative Reinforcement Learning By Payoff Filters (Extended Abstract)Sadayoshi Mikami, Yukinori Kakazu, Terence C. Fogarty. ecml 1995: 319-322

Learning Subjective "Cognitive Maps" in the Presence of Sensory-Motor ErrorsAnthony G. Pipe, Brian Carse, Terence C. Fogarty, Alan F. T. Winfield. ecal 1995: 463-476

An Adaptive Poly-Parental Recombination StrategyJim Smith, Terence C. Fogarty. aisb 1995: 48-61

Load Balancing Application of the Genetic Algorithm in a Nonstationary EnvironmentFrank Vavak, Terence C. Fogarty, Phillip Cheng. aisb 1995: 224-233

1994

Parallel Evolution of Communicating Classifier SystemsLarry Bull, Terence C. Fogarty. icec 1994: 680-685

An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First ResultsLarry Bull, Terence C. Fogarty. aisb 1994: 95-102

A Delayed-Action Classifier System for Learning in Temporal EnvironmentsBrian Carse, Terence C. Fogarty. icec 1994: 670-673

A Fuzzy Classifier System Using the Pittsburgh ApproachBrian Carse, Terence C. Fogarty. ppsn 1994: 260-269

Co-Evolving Co-Operative Populations of Rules in Learning Control SystemsTerence C. Fogarty. aisb 1994: 195-209

Evolving prototype control rules for a dynamic systemTerence C. Fogarty, Runhe Huang. kbs, 7(2):142-145, 1994. [doi]

Applying a Restricted Mating Policy to Determine State Space Niches Using Immediate and Delayed ReinforcementChris Melhuish, Terence C. Fogarty. aisb 1994: 224-237

Hybrid Adaptive Heuristic Critic Architectures for Learning in Mazes with Continuous Search SpacesAnthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield. ppsn 1994: 482-491

Balancing Exploration with Exploitation - Solving Mazes With Real Numbered Search SpacesAnthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield. icec 1994: 485-489

1993

Searching databases using parallel genetic algorithms on a transputer computing surfaceJun Cui, Terence C. Fogarty, John G. Gammack. fgcs, 9(1):33-40, 1993. [doi]

ReproductionRankingReplacement and Noisy Evaluations: Experimental ResultsTerence C. Fogarty. icga 1993: 634

1992

First Nearest Neighbor Classification on Frey and Slate s Letter Recognition ProblemTerence C. Fogarty. ml, 9:387-388, 1992.

Human-Centred Decision Support: The IDIOMS SystemJohn G. Gammack, Terence C. Fogarty, S. A. Battle, N. S. Ireson, J. Cui. ais, 6(4):345-366, 1992.

1990

1989

An Incremental Genetic Algorithm for Real-Time LearningTerence C. Fogarty. icml 1989: 416-419

Varying the Probability of Mutation in the Genetic AlgorithmTerence C. Fogarty. icga 1989: 104-109

An incremental genetic algorithm for real-time optimisationTerence C. Fogarty. SMC 1989: 321-326 [doi]

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