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Research on Key Problems of Heuristic Evolutionary Algorithm for Dynamic High Dimensional Multi-Objective Optimization Problem

机译:动态高维多目标优化问题启发式进化算法关键问题研究

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The multi-objective optimization method has a strong background of engineering application. In recent years, the problem of solving multi-objective optimization based on evolutionary algorithm has become a hot topic in the international academic circle. This paper studies the problem of dynamic application of high-dimensional multi-objective optimization problem heuristic evolutionary algorithm key technology and algorithm, which constructs online target dimension reduction algorithm model, alternating between the executive, the original problem is gradually transformed into smaller problems, improve the optimization algorithm, which provides a new method for solving high dimension the multi-objective optimization problem.
机译:多目标优化方法具有强大的工程应用背景。近年来,基于进化算法解决多目标优化的问题已成为国际学术界的热门话题。本文研究了高维多目标优化问题的动态应用问题启发式进化算法关键技术和算法,其构建在线目标尺寸减少算法模型,在执行中交替,原始问题逐渐转化为较小的问题,提高优化算法提供了一种解决高维度的新方法来解决多目标优化问题。

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