An Improved Multi-Objective Evolutionary Algorithm with Adaptable Parameters
Multi-Objective Evolutionary Algorithms (MOEAs) are not easy to use because they require parameter tunings of three main parameters - population size, crossover probability, and mutation probability - in order to achieve desirable solutions and performance for an arbitrary complex problem. Moreover,...
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| Format: | Others |
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NSUWorks
2006
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| Online Access: | http://nsuworks.nova.edu/gscis_etd/888 http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1887&context=gscis_etd |