| Varying the probability of mutation in the genetic algorithm TC Fogarty Proceedings of the 3rd International Conference on Genetic Algorithms, 104-109, 1989 | 604 | 1989 |
| Evolving fuzzy rule based controllers using genetic algorithms B Carse, TC Fogarty, A Munro Fuzzy sets and systems 80 (3), 273-293, 1996 | 320 | 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 | 292 | 1997 |
| Operator and parameter adaptation in genetic algorithms JE Smith, TC Fogarty Soft computing 1 (2), 81-87, 1997 | 257 | 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 | 257 | 1996 |
| Genetic Programming: First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings W Banzhaf, R Poli, M Schoenauer, TC Fogarty Springer Science & Business Media, 1998 | 224* | 1998 |
| Information characteristics and the structure of landscapes VK Vassilev, TC Fogarty, JF Miller Evolutionary computation 8 (1), 31-60, 2000 | 217 | 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 | 173 | 1996 |
| A distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems ME Aydin, TC Fogarty Journal of heuristics 10 (3), 269-292, 2004 | 141 | 2004 |
| Implementing the genetic algorithm on transputer based parallel processing systems TC Fogarty, R Huang International Conference on Parallel Problem Solving from Nature, 145-149, 1990 | 141 | 1990 |
| A genetic algorithm with variable range of local search for tracking changing environments F Vavak, TC Fogarty, K Jukes International conference on parallel problem solving from nature, 376-385, 1996 | 111 | 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 | 109 | 1996 |
| Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application VK Vassilev, TC Fogarty, JF Miller Advances in evolutionary computing, 3-44, 2003 | 93 | 2003 |
| Timetabling the classes of an entire university with an evolutionary algorithm B Paechter, RC Rankin, A Cumming, TC Fogarty International Conference on Parallel Problem Solving from Nature, 865-874, 1998 | 91 | 1998 |
| Recombination strategy adaptation via evolution of gene linkage J Smith, TC Fogarty Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 84 | 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 | 83 | 1997 |
| Genetic Programming: Second European Workshop, EuroGP'99, Göteborg, Sweden, May 26-27, 1999, Proceedings R Poli, P Nordin, WB Langdon, TC Fogarty Springer Science & Business Media, 1999 | 81* | 1999 |
| 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 | 81 | 1996 |
| A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application ME Aydin, TC Fogarty Journal of intelligent manufacturing 15 (6), 805-814, 2004 | 74 | 2004 |
| 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 | 69 | 2010 |
Julian F MillerHonorary Fellow, University of YorkVerified email at york.ac.uk
