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Network expansion planning using linkage identification genetic algorithm

机译:基于连锁识别遗传算法的网络扩展规划

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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:本文提出了多目标优化方法在网络扩展规划中的应用。配电网络扩展计划(DNEP)旨在在满足约束的同时将成本和配电损失降至最低。问题表述导致组合优化问题,由于其复杂性,实际上很难解决。因此,本文采用了一种遗传算法,它是一种元启发式方法。本研究提出了一种新的多目标优化方法。现在认为NSGA-II和SPEA2是最好的方法。该方法将连锁识别遗传算法的概念引入该方法。结果,新方法比现有方法可以更有效地进行搜索。

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