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A hybrid multi-objective GRASP+SA algorithm with incorporation of preferences

机译:包含偏好的混合多目标GRA​​SP + SA算法

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A hybrid multi-objective approach based on GRASP (Greedy Randomized Adaptive Search Procedure) and SA (Simulated Annealing) meta-heuristics is proposed to provide decision support in a direct load control problem in electricity distribution networks. The main contributions of this paper are new techniques for the incorporation of preferences in these meta-heuristics and their hybridization. Preferences are included in the construction phase of multi-objective GRASP, in SA, as well as in the selection of solutions that go to the next generation, with the aim to obtain solutions more in accordance with the preferences elicited from a decision maker. The incorporation of preferences is made operational using the principles of the ELECTRE TRI method, which is based on the exploitation of an outranking relation in the framework of the sorting problem.
机译:提出了一种基于GRASP(贪婪随机自适应搜索过程)和SA(模拟退火)元启发式算法的混合多目标方法,为配电网络中的直接负荷控制问题提供决策支持。本文的主要贡献是在这些元启发式方法及其混合中纳入偏好的新技术。首选项包括在SA的多目标GRA​​SP的构建阶段以及选择下一代解决方案的过程中,目的是更根据决策者的偏好获得解决方案。使用ELECTRE TRI方法的原理使首选项的合并成为可操作的方法,该方法基于在排序问题的框架中利用排名优先关系。

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