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ADVANCED GENETIC ALGORITHMS FOR ENGINEERING OPTIMIZATION
Adjusting Fuzzy Partitions by Genetic Algorithms and Histograms for Pattern Classification Problems
Gen Ashikaga Institute of Technology JAPAN
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adaptive agents allocation applied approach average behavior bits bond graph cell chromosome circuit cluster complexity components constraints convergence cost function crossover crossover operator defined described distribution dynamic encoding engine environment error evaluation evolution evolution strategies evolutionary algorithms Evolutionary Computation evolutionary programming evolved experiments Figure filters fitness function fitness landscape fitness value fuzzy gene Genetic Algorithms genetic operators genetic programming global optimum heuristic IEEE individual initial input iterations learning Machine Learning matrix method mobile robot modules mutation operator mutation rate NCR-board neural networks neurons niche nodes objective function obtained offspring optimal solution optimisation output paper parameters parents path performance population proposed random randomly representation represents rithms routing runs schedule search space selection shown shows simulated annealing simulation solve Steiner tree step strategy string structure subprograms Table target techniques tion tree variables vector voltage weights