An improved cuckoo search algorithm for parallel machine scheduling

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Abstract

This paper proposes a cuckoo search-based algorithm (CSA) to minimize makespan for identical parallel machine scheduling problems. Job permutation schedules are used to implement CSA for this problem. We present a heuristic approach based on mod function to convert a continuous position in CSA into discrete permutation schedule for obtaining a cuckoo by Levy flights. Empirical results with a large number of randomly generated benchmark problem instances demonstrate that the proposed method produces solutions that are fairly superior to that of two state-of-the-art algorithms in the literature.

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Laha, D., & Behera, D. K. (2015). An improved cuckoo search algorithm for parallel machine scheduling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8947, pp. 788–800). Springer Verlag. https://doi.org/10.1007/978-3-319-20294-5_67

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