2015 年 135 巻 4 号 p. 466-467
While proximate optimality of a solution space is evaluated by a correlation coefficient of objective function values and distances among solutions, a Proximate Optimality Principle (POP) based new meta-heuristics for combinatorial optimization problems is proposed in this letter. The performance of the proposed combinatorial optimization method is verified through simulations using two types of typical benchmark problems.
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