Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem

Noha M. Hamza, R. Sarker, D. Essam
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引用次数: 7

Abstract

Over the last few decades, real world constrained optimization has become an important research topic in the evolutionary computation field. The Economic Load Dispatch is one of the well-known complex practical problems. The problem is usually represented by a non-convex constrained optimization model. In this paper, we propose to use an ensemble of three different Constraint Consensus (CC) methods within the Differential Evolution algorithm to solve the Economic Load Dispatch problem. During the evolution process, an adaptive mechanism is used to assign the infeasible solutions to each CC method with the emphasis on the best performing one. The experimental results show that the proposed algorithm is not only able to reach the 100% feasibility ratio, but that it is also able to obtain better solutions in comparison to the state-of-the-art algorithms.
混合约束共识方法的差分进化求解现实世界的优化问题
在过去的几十年里,现实世界约束优化已经成为进化计算领域的一个重要研究课题。经济负荷调度是众所周知的复杂实际问题之一。该问题通常用非凸约束优化模型来表示。在本文中,我们提出在差分进化算法中使用三种不同约束共识(CC)方法的集成来解决经济负荷调度问题。在演化过程中,采用自适应机制将不可行的解分配给各种CC方法,重点关注性能最佳的CC方法。实验结果表明,该算法不仅能够达到100%的可行性,而且与现有算法相比,能够获得更好的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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