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Information Journal Paper

Title

Cat swarm optimization for solving the open shop scheduling problem

Pages

  367-378

Abstract

 This paper aims to prove the efficiency of an adapted Computationally intelligence-based Behavior of cats called the cat Swarm optimization algorithm, that solves the open shop Scheduling problem, classified as NP-hard which its importance appears in several industrial and manufacturing applications. The cat Swarm optimization algorithm was applied to solve some benchmark instances from the literature. The computational results, and the comparison of the relative percentage deviation of the proposed metaheuristic with other’ s existing in the literature, show that the cat Swarm optimization algorithm yields good results in reasonable execution time.

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    APA: Copy

    Bouzidi, Abdelhamid, Mohammed, Essaid Riffi, & Barkatou, Mohammed. (2019). Cat swarm optimization for solving the open shop scheduling problem. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 15(2), 367-378. SID. https://sid.ir/paper/310179/en

    Vancouver: Copy

    Bouzidi Abdelhamid, Mohammed Essaid Riffi, Barkatou Mohammed. Cat swarm optimization for solving the open shop scheduling problem. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2019;15(2):367-378. Available from: https://sid.ir/paper/310179/en

    IEEE: Copy

    Abdelhamid Bouzidi, Essaid Riffi Mohammed, and Mohammed Barkatou, “Cat swarm optimization for solving the open shop scheduling problem,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 15, no. 2, pp. 367–378, 2019, [Online]. Available: https://sid.ir/paper/310179/en

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