1995 IEEE International Conference on Evolutionary Computation, the University of Western Australia, Perth, Western Australia, 29 November-1 December, 1995, Volume 2 |
Contents
A STUDY ON FINDING FUZZY RULES FOR SEMIACTIVE SUSPENSION | 502 |
Volume 1 | 583 |
ENVIRONMENTALLY CONSTRAINED ELECTRIC POWER DISPATCH WITH GENETIC | 624 |
Copyright | |
7 other sections not shown
Common terms and phrases
antibodies antigen applied approach Artificial automata average behavior cells chromosome color constraints convergence crossover operator defined dynamic encoding equation error evaluation evolution strategies evolutionary algorithms evolved example experiments Figure fitness function fitness value function smoothing fuzzy if-then rules fuzzy sets g-fGA gene Genetic Algorithms genetic operators Genetic Programming genotype global optimum hill climbing idiotope IEEE immune system individual initial population input layer linear LOGENPRO logic grammar Machine Learning method mobile robot mutation operator mutation rate neural networks node nonlinear objective function obtained offspring optimization output p-fGA paper parameters parent patterns performance PID controllers problem Proc produced proposed random randomly rectangles represent SAN DIEGO search space Section selection shown shows simulation slime moulds solution solve step stochastic strategy string structure Table technique tion total number travelling salesman problem University variables vector