Proceedings of the ... IEEE Conference on Evolutionary ComputationIEEE, 1998 - Algorithms |
Contents
ADVANCED GENETIC ALGORITHMS FOR ENGINEERING OPTIMIZATION | 1 |
Gen Ashikaga Institute of Technology JAPAN | 20 |
Comparative Study of Tree Encodings on Spanning Tree Problems I33 | 33 |
Copyright | |
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Common terms and phrases
adaptive agents applied approach Artificial average behavior binary bits bond graph building blocks cell chromosome circuit cluster complexity components constraints convergence cost crossover crossover operator defined distance distribution dynamic encoding environment evaluation evolution evolution strategies evolutionary algorithms Evolutionary Computation evolutionary programming evolved experiments Figure fitness function fitness value gene Genetic Algorithms genetic operators genetic programming genotype global global optimum graph heuristic IEEE implementation individuals initial input International Conference iterations learning local search Machine Learning matrix method mobile robot modules mutation operator mutation rate neural networks neuron niche nodes objective function obtained offspring optimal solution optimisation optimum output paper parameters parents path performance population proposed random randomly representation represents rithm rule schedule search space selection shown shows simulated annealing simulation solve step strategy string subprograms Table target technique tion tree variables vector weights