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Title of Journal: J Intell Manuf

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Abbravation: Journal of Intelligent Manufacturing

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Springer US

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DOI

10.1007/s10553-009-0078-x

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ISSN

1572-8145

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A multiobjective scheduling algorithm with selfe

Authors: HongSen Yan WenChao Li
Publish Date: 2014/10/19
Volume: 28, Issue: 2, Pages: 337-351
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Abstract

A multiobjective scheduling algorithm with selfevolutionary feature for jobshoplike knowledgeable manufacturing cell JSKMC is proposed in this paper targeting such scheduling issues as makespan 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 multiobjective scheduling algorithm with selfevolutionary 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 selfevolution via learningThis 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 EditorinChief Professor Andrew Kusiak the Associate Editor the anonymous reviewers and Professor Li Lu for their valuable comments and suggestions

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