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A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell

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Abstract

A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell (JSKMC) is proposed in this paper, targeting such scheduling issues as make-span, mean complete time of tasks, total tardiness of tasks, number of tardy tasks and the maximum tardiness. Four matrixes are designed to represent the scheduling model of JSKMC. Properties of the key arcs of tasks are discussed and it is found helpless to seek a better solution by reversing the direction of the middle key arcs of tasks. A simplified neighborhood is then established whereby the number of feasible solutions to be searched for is greatly reduced. Based on the above a multi-objective scheduling algorithm with self-evolutionary feature for JSKMC is proposed. Adaptive heuristic critic method is adopted in the algorithm, whose associate search element (ASE) module is designed to select the appropriate action for acquisition of a better solution in the next step by using the knowledge obtained from learning; such an ability of this module can be improved progressively with the increasing training. A scheduling algorithm based on ASE is developed, in which a Pareto archive is embedded to obtain the Pareto optimal solutions. Numerical simulation results confirm the strong ability of the proposed algorithm to home in on the optimal solution by self-evolution via learning.

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Acknowledgments

This work is supported by a key program of the National Natural Science Foundation of China under Grant 60934008 and the Jiangsu Province University Natural Science Research Project under Grant No. 13KJB460005. The authors thank the Editor-in-Chief & Professor Andrew Kusiak, the Associate Editor, the anonymous reviewers and Professor Li Lu for their valuable comments and suggestions.

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Authors and Affiliations

  1. School of Automation, and MOE Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, Nanjing, 210096, Jiangsu, China

    Hong-Sen Yan & Wen-Chao Li

  2. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China

    Wen-Chao Li

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  1. Hong-Sen Yan
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Correspondence to Hong-Sen Yan.

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Yan, HS., Li, WC. A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell. J Intell Manuf 28, 337–351 (2017). https://doi.org/10.1007/s10845-014-0981-9

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  • DOI: https://doi.org/10.1007/s10845-014-0981-9

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