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Progressive Multi-Objective Optimization

机译:渐进多目标优化

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摘要

This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference archive of nondominated solutions throughout the search. By applying this novel technique to a set of instances of the multi-objective knapsack problem, the superiority of PMOO over the commonly accepted sequential approach of generating a Pareto set approximation First and selecting a single solution afterwards is demonstrated.
机译:本文介绍了渐进式多目标优化(PMOO),这是一种将决策者的偏好纳入多目标优化过程的新技术。 PMOO通过在整个搜索过程中维护和更新少量的非支配解决方案参考档案,将著名的多准则决策方法(PROMETHEE)集成到简单的多目标元启发式方法中。通过将此新颖技术应用于多目标背包问题的一组实例,证明了PMOO优于普遍接受的顺序生成方法(首先生成帕累托集逼近,然后再选择单个解)。

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