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    題名: A hybrid electromagnetism-like algorithm for single machine scheduling problem
    作者: Chang, Pei-Chann;Chen, Shih-Hsin;Fan, Chin-Yuan
    關鍵詞: Single machine scheduling;Electromagnetism-like algorithm;Total deviations;Dominance property
    日期: 2009-03
    上傳時間: 2021-10-07 12:10:43 (UTC+8)
    出版者: Elsevier Ltd
    摘要: Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-heuristic that applies the EM methodology to the single machine scheduling problem. To the best of our knowledge, there are only few researches in solving the combinatorial optimization problem (COP) by EM. This research attempts to employ the random-key concept combining with genetic operators in the hybrid algorithm to obtain the best/optimal schedule for the single machine problems. This new approach attempts to achieve the convergence and diversity effects when it is iteratively applied to solve the problem. This hybrid algorithm is tested on a set of standard test problems available in the literature. The computational results show that this hybrid algorithm performs better than the standard genetic algorithm.
    關聯: Expert Systems with Applications 36(2-1), p.1259-1267
    DOI: 10.1016/j.eswa.2007.11.050
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

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