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Network expansion planning using linkage identification genetic algorithm

机译:网络扩展规划使用联动识别遗传算法

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This paper presents the application of multi-objective optimization method for Network Expansion Planning. The Distribution Network Expansion Planning (DNEP) aims to minimize the cost and distribution loss while satisfying the constraints. The problem formulation results in combinatorial optimization problems which in practice are quite hard to solve due to their complexity. Therefore, in this paper Genetic Algorithm which is a meta-heuristics method was applied. The present study proposed the new method of multi-objective optimization methods. NSGA-II and SPEA2 is assumed to be the best method now. The proposed method introduces the concept of linkage identification genetic algorithm into that method. As a result, new method was possible to search more efficiently than existing methods.
机译:本文介绍了多目标优化方法对网络扩展规划的应用。 分销网络扩展规划(DNEP)旨在最大限度地减少满足约束的成本和分配损失。 问题制定导致组合优化问题,由于它们的复杂性,实践中的实践中很难解决。 因此,在本文遗传算法中,应用了元启发式方法。 本研究提出了新的多目标优化方法方法。 假设NSGA-II和SPEA2现在是最好的方法。 该方法介绍了联动识别遗传算法的概念进入该方法。 结果,可以比现有方法更有效地搜索新方法。

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