Rank-density-based multiobjective genetic algorithm and benchmark test function study


Since the 1980s, the application of evolutionary algorithms (EAs) in solving multiobjective optimization problems (MOPs) has been receiving a growing interest from evolutionary computation community. To search for a family of “acceptable” solutions, a so called Pareto set, by using EAs population-based parallel searching ability, several multiobjective… (More)
DOI: 10.1109/TEVC.2003.812220


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