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The Electromagnetism Meta-heuristic Applied to the Resource-Constrained Project Scheduling Problem

机译:应用于资源受限的项目调度问题的电磁荟萃启发式问题

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Recently, an electromagnetism (EM) heuristic has been introduced by Birbil and Fang (2003) to solve unconstrained optimization problems. In this paper, we extend the EM methodology to combinatorial optimization problems and illustrate its effectiveness on the well-known resource-constrained project scheduling problem (RCPSP). We present computational experiments on a standard benchmark dataset, compare the results of the different modifications on the original EM framework with current state-of-the-art heuristics, and show that the procedure is capable of producing consistently good results for challenging instances of the problem under study. We also give directions for future research in order to further explore the potential of this new technique.
机译:最近,Birbil和Fang(2003)引入了电磁(EM)启发式,以解决无约束的优化问题。在本文中,我们将EM方法扩展到组合优化问题,并说明了其在众所周知的资源受限的项目调度问题上的有效性(RCPSP)。我们在标准的基准数据集中呈现计算实验,比较原始EM框架的不同修改的结果与当前的最先进的启发式,并表明该程序能够为具有挑战性的实例产生一致的好结果研究下的问题。我们还提供未来研究的指示,以便进一步探索这种新技术的潜力。

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