| Varying the probability of mutation in the genetic algorithm TC Fogarty Proceedings of the 3rd international conference on genetic algorithms, 104-109, 1989 | 639 | 1989 |
| Evolving fuzzy rule based controllers using genetic algorithms B Carse, TC Fogarty, A Munro Fuzzy sets and systems 80 (3), 273-293, 1996 | 346 | 1996 |
| Designing electronic circuits using evolutionary algorithms. arithmetic circuits: A case study JF Miller, P Thomson, T Fogarty Genetic algorithms and evolution strategies in engineering and computer …, 1997 | 331 | 1997 |
| Operator and parameter adaptation in genetic algorithms JE Smith, TC Fogarty Soft computing 1, 81-87, 1997 | 279 | 1997 |
| Self adaptation of mutation rates in a steady state genetic algorithm J Smith, TC Fogarty Proceedings of IEEE international conference on evolutionary computation …, 1996 | 268 | 1996 |
| Genetic Programming: First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings W Banzhaf Springer Science & Business Media, 1998 | 253* | 1998 |
| Information characteristics and the structure of landscapes VK Vassilev, TC Fogarty, JF Miller Evolutionary computation 8 (1), 31-60, 2000 | 248 | 2000 |
| Comparison of steady state and generational genetic algorithms for use in nonstationary environments F Vavak, TC Fogarty Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 185 | 1996 |
| Implementing the genetic algorithm on transputer based parallel processing systems TC Fogarty, R Huang Parallel Problem Solving from Nature: 1st Workshop, PPSN I Dortmund, FRG …, 1991 | 175* | 1991 |
| A distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems ME Aydin, TC Fogarty Journal of heuristics 10, 269-292, 2004 | 167 | 2004 |
| A genetic algorithm with variable range of local search for tracking changing environments F Vavak, TC Fogarty, K Jukes Parallel Problem Solving from Nature—PPSN IV: International Conference on …, 1996 | 119 | 1996 |
| A comparative study of steady state and generational genetic algorithms for use in nonstationary environments F Vavak, TC Fogarty AISB workshop on Evolutionary Computing, 297-304, 1996 | 112 | 1996 |
| Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application VK Vassilev, TC Fogarty, JF Miller Advances in evolutionary computing: theory and applications, 3-44, 2003 | 107 | 2003 |
| Timetabling the classes of an entire university with an evolutionary algorithm B Paechter, RC Rankin, A Cumming, TC Fogarty Parallel Problem Solving from Nature—PPSN V: 5th International Conference …, 1998 | 95 | 1998 |
| Recombination strategy adaptation via evolution of gene linkage J Smith, TC Fogarty Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 91 | 1996 |
| Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm JE Smith, TC Fogarty International Conference on Parallel Problem Solving from Nature, 441-450, 1996 | 86 | 1996 |
| Learning the local search range for genetic optimisation in nonstationary environments F Vavak, K Jukes, TC Fogarty Proceedings of 1997 IEEE International Conference on Evolutionary …, 1997 | 81 | 1997 |
| A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application ME Aydin, TC Fogarty Journal of intelligent manufacturing 15, 805-814, 2004 | 80 | 2004 |
| Evolution in multi-agent systems: Evolving communicating classifier systems for gait in a quadrupedal robot L Bull, TC Fogarty, M Snaith Proceedings of the 6th international conference on genetic algorithms, 382-388, 1995 | 73 | 1995 |
| Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers KY Chan, CK Kwong, TC Fogarty Information Sciences 180 (4), 506-518, 2010 | 72 | 2010 |
M. E. AydinComputer Science, University of the West of EnglandVerified email at uwe.ac.uk