1995 IEEE International Conference on Evolutionary Computation, the University of Western Australia, Perth, Western Australia, 29 November-1 December, 1995, Volume 2 |
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Page 652
... produced using the different operators are examined statistically . 2 Analogues of Biological Mechanisms Geometric or clonal replication has been defined as the process in which an infecting viral chromosome replicates to produce two ...
... produced using the different operators are examined statistically . 2 Analogues of Biological Mechanisms Geometric or clonal replication has been defined as the process in which an infecting viral chromosome replicates to produce two ...
Page 839
... produced with the corresponding parameters values . The purpose of the FKB is to provide control parameters of already produced items which are similar to an item de- sired to be produced . Since fuzzy logic represents a means to ...
... produced with the corresponding parameters values . The purpose of the FKB is to provide control parameters of already produced items which are similar to an item de- sired to be produced . Since fuzzy logic represents a means to ...
Page 840
... produced items among each other , and ( c ) the deviation of the times be- tween rows of produced items for determining their distance . These three factors are the basis for the fitness computation . The GA terminates when a certain ...
... produced items among each other , and ( c ) the deviation of the times be- tween rows of produced items for determining their distance . These three factors are the basis for the fitness computation . The GA terminates when a certain ...
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
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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