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A new local search method with the guarantee of local Pareto optimality

机译:保证局部帕累托最优的新局部搜索方法

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In this paper, a new local search method based on local Pareto optimality was proposed. The proposed method uses an original local Pareto optimal condition, which modifies Karush-Kuhn-Tucker (KKT) conditions, and applies directed local search to candidate solutions repetitively until solutions satisfy this condition. Also, this paper proposed a new interpolation mechanism for detecting local Pareto subsets exhaustively and capturing the entire shape of each Pareto subset. Through experiments with two typical EMO examples, KUR and MHHM2, the effectiveness of the proposed method was verified.
机译:提出了一种基于局部Pareto最优性的局部搜索新方法。所提出的方法使用原始的局部Pareto最优条件,该条件修改了Karush-Kuhn-Tucker(KKT)条件,并将定向局部搜索重复应用于候选解,直到解满足此条件为止。此外,本文提出了一种新的插值机制,可以穷尽地检测局部Pareto子集并捕获每个Pareto子集的整体形状。通过对两个典型的EMO示例KUR和MHHM2的实验,验证了该方法的有效性。

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