Interpolation of the Pareto Optimal Solution in Multiobjective Genetic Algorithms
نویسندگان
چکیده
Proposal in this paper is a method of interpolating the pareto optimal solution in Multiobjective Genetic Algorithms. In this method, some vacancies are maked up by resuming computation of Multiobjective Genetic Algorithms. A beginning field is set up by variables of both sides of the vacancy. Then, computation of Multiobjective Genetic Algorithms is started from the beginning field again. Visualization of the pareto optimal solution is used as an interpolation's tool. Visualization is useful for understanding the vacancy and transition of individuals. 1.
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