T. Fogarty

Anthony G. Pipe, Alan F. T. Winfield, Terence C. Fogarty, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

ACTIVE NOISE CONTROL IN DUCTS USING GENETIC ALGORITHMS

T. Fogarty, J. C. Werner, Jose Sotelo Junior, 2002 .

Self adaptation of mutation rates in a steady state genetic algorithm

Jim Smith, Terence C. Fogarty, T. Fogarty, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design

Kit Yan Chan, Mehmet Emin Aydin, C. K. Kwong, 2010, Expert Syst. Appl..

New Factorial Design Theoretic Crossover Operator for Parametrical Problem

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty, 2003, EuroGP.

An Evolutionary Algorithm for the Input-Output Block Assignment Problem

Kit Yan Chan, Terence C. Fogarty, T. Fogarty, 2004, EuroGP.

Genetic Control Applied to Asset Managements

Terence C. Fogarty, James Cunha Werner, T. Fogarty, 2002, EuroGP.

Adaptation in Co-evolving Non-uniform Cellular Automata

Terence C. Fogarty, Vesselin K. Vassilev, T. Fogarty, 1998, ICES.

Experimental Design Based Multi-parent Crossover Operator

Kit Yan Chan, Terence C. Fogarty, T. Fogarty, 2003, EuroGP.

Adaptively Parameterised Evolutionary Systems: Self-Adaptive Recombination and Mutation in a Genetic Algorithm

Jim Smith, Terence C. Fogarty, T. Fogarty, 1996, PPSN.

Proceedings of the Second European Workshop on Genetic Programming

Riccardo Poli, Marc Schoenauer, Wolfgang Banzhaf, 1998 .

An Ambulance Crew Rostering System

Terence C. Fogarty, P. V. G. Bradbeer, C. Findlay, 2000, EvoWorkshops.

An Adaptive Poly-Parental Recombination Strategy

Jim Smith, Terence C. Fogarty, T. Fogarty, 1995, Evolutionary Computing, AISB Workshop.

Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications

Kit Yan Chan, Sai-Ho Ling, Mehmet Emin Aydin, 2008, Int. J. Comput. Intell. Appl..

Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty, 2006, Soft Comput..

Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes

Kit Yan Chan, Mehmet Emin Aydin, Terry C. Fogarty, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Adaptive Rule-based Optimisation of Combustion in Multiple Burner Installations

Terence C. Fogarty, T. Fogarty, 1990, Expert Systems in Engineering.

Adaptive classification and control-rule optimisation via a learning algorithm for controlling a dynamic system

T. C. Fogarty, R. Huang, T. Fogarty, 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

An Incremental Genetic Algorithm for Real-Time Learning

Terence C. Fogarty, T. Fogarty, 1989, ML.

An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty, 2006 .

Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem

Terence C. Fogarty, Luis Miramontes Hercog, T. Fogarty, 2001, IWLCS.

Adaptive Combustion Balancing in Multiple Burner Boiler Using a Genetic Algorithm with Variable Range of Local Search

Terence C. Fogarty, Frank Vavak, Ken Jukes, 1997, ICGA.

Timetabling the Classes of an Entire University with an Evolutionary Algorithm

Ben Paechter, R. C. Rankin, Andrew Cumming, 1998, PPSN.

A Taguchi method-based crossover operator for the parametrical problems

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Human-centred decision support: The IDIOMS system

John G. Gammack, Jun Cui, Terence C. Fogarty, 1992, AI & SOCIETY.

Some Aspects of an Evolvable Hardware Approach for Multiple-Valued Combinational Circuit Design

Tatiana Kalganova, Julian Francis Miller, Terence C. Fogarty, 1998, ICES.

Evolving Software Test Data - GA's learn Self Expression

Jim Smith, Terence C. Fogarty, T. Fogarty, 1996, Evolutionary Computing, AISB Workshop.

A delayed-action classifier system for learning in temporal environments

T.C. Fogarty, B. Carse, T. Fogarty, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Genetic Programming

Terence C. Fogarty, T. Fogarty, 2020, Lecture Notes in Computer Science.

Performance of a Genetic Algorithm with Variable Local Search Range Relative to Frequency of the Environmental Changes

Terence C. Fogarty, Frank Vavak, T. Fogarty, 1998 .

Co-Evolving Co-Operative Populations of Rules in Learning Control Systems

Terence C. Fogarty, T. Fogarty, 1994, Evolutionary Computing, AISB Workshop.

Rule-based optimization of combustion in multiple-burner furnaces and boiler plants

Terence C. Fogarty, T. Fogarty, 1988 .

Evolving fuzzy rule based controllers using genetic algorithms

Alistair Munro, Brian Carse, Terence C. Fogarty, 1996, Fuzzy Sets Syst..

Evolutionary learning of temporal behaviour using discrete and fuzzy classifier systems

Brian Carse, Terence C. Fogarty, T. Fogarty, 1995, Proceedings of Tenth International Symposium on Intelligent Control.

A new approach to genetics based machine learning in fuzzy controller design

Brian Carse, Terence C. Fogarty, T. Fogarty, 1994, Proceedings of 1994 9th IEEE International Symposium on Intelligent Control.

Applying a Restricted Mating Policy to Determine State Space Niches Using Immediate and Delayed Reinforcement

Chris Melhuish, Terence C. Fogarty, T. Fogarty, 1994, Evolutionary Computing, AISB Workshop.

Searching databases using parallel genetic algorithms on a transputer computing surface

John G. Gammack, Jun Cui, Terence C. Fogarty, 1993, Future Gener. Comput. Syst..

Artificial Symbiogenesis

Larry Bull, Terence C. Fogarty, T. Fogarty, 1995, Artificial Life.

Evolving prototype control rules for a dynamic system

Runhe Huang, Terence C. Fogarty, T. Fogarty, 1994, Knowl. Based Syst..

A Genetic Algorithm with Variable Range of Local Search for Tracking Changing Environments

Terence C. Fogarty, Frank Vavak, Ken Jukes, 1996, PPSN.

Comparison of steady state and generational genetic algorithms for use in nonstationary environments

Terence C. Fogarty, Frank Vavak, T. Fogarty, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

A Comparative Study of Steady State and Generational Genetic Algorithms

Terence C. Fogarty, Frank Vavak, T. Fogarty, 1996, Evolutionary Computing, AISB Workshop.

Co-evolving demes of non-uniform cellular automata for synchronisation

Julian Francis Miller, Terence C. Fogarty, Vesselin K. Vassilev, 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

Distributed Routing in Communication Networks using the Temporal Fuzzy Classifier System — a Study on Evolutionary Multi-Agent Control

Alistair Munro, Brian Carse, Terence C. Fogarty, 2004 .

Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication Networks

Alistair Munro, Brian Carse, Terence C. Fogarty, 1995, Evolutionary Computing, AISB Workshop.

Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers

Kit Yan Chan, Terence C. Fogarty, C. K. Kwong, 2010, Inf. Sci..

Co-operative Reinforcement Learning By Payoff Filters (Extended Abstract)

Yukinori Kakazu, Sadayoshi Mikami, Terence C. Fogarty, 1995, ECML.

A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application

Mehmet Emin Aydin, Terence C. Fogarty, T. Fogarty, 2004, J. Intell. Manuf..

Evolutionary Computing in Multi-Agent Environments: Specification and Symbiogenesis

Larry Bull, Terence C. Fogarty, T. Fogarty, 1996, PPSN.

Evolvable Systems: From Biology to Hardware

J. van Leeuwen, Jan van Leeuwen, Terence C. Fogarty, 2002, Lecture Notes in Computer Science.

Evolving Bayesian classifiers for credit control—a comparison with other machine-learning methods

Terence C. Fogarty, Neil Ireson, T. Fogarty, 1993 .

Late-breaking papers of EuroGP-99

Riccardo Poli, Terence C. Fogarty, William B. Langdon, 1999 .

Optimising individual control rules and multiple communicating rule-based control systems with parallel distributed genetic algorithms

Larry Bull, Terence C. Fogarty, T. Fogarty, 1995 .

An incremental genetic algorithm for real-time optimisation

Terence C. Fogarty, T. Fogarty, 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

Developing rule-based systems for credit-card applications from data with the genetic algorithm

Terence C. Fogarty, Steven A. Battle, Neil Ireson, 1992 .

A Prolog simulation for combustion control

Terence C. Fogarty, T. Fogarty, 1990, Simul..

The machine learning of rules for combustion control in multiple burner installations

T.C. Fogarty, T. Fogarty, 1989, [1989] Proceedings. The Fifth Conference on Artificial Intelligence Applications.

ADAPTING TO NOISE

T. C. Fogarty, T. Fogarty, 1988 .

On the nature of two-bit multiplier landscapes

Julian Francis Miller, Terence C. Fogarty, Vesselin K. Vassilev, 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

Artificial evolution of fuzzy rule bases which represent time: A temporal fuzzy classifier system

T. Fogarty, B. Carse, A. Munro, 1998, Int. J. Intell. Syst..

Selected Papers from AISB Workshop on Evolutionary Computing

Terence C. Fogarty, T. Fogarty, 1994 .

Recombination strategy adaptation via evolution of gene linkage

Jim Smith, Terence C. Fogarty, T. Fogarty, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

A Distributed Evolutionary Simulated Annealing Algorithm for Combinatorial Optimisation Problems

Mehmet Emin Aydin, Terence C. Fogarty, T. Fogarty, 2004, J. Heuristics.

Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot

Larry Bull, Terence C. Fogarty, M. Snaith, 1995, ICGA.