• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (13): 160-174.doi: 10.3901/JME.2019.13.160

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Combining Multi-objective Differential Evolution Algorithm and Linear Programming for Multiple Row Facility Layout Problem

GUAN Chao1,2, ZHANG Zeqiang1,2, LI Yunpeng1,2, JIA Lin1,2   

  1. 1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031;
    2. Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 610031
  • Received:2018-08-01 Revised:2019-01-14 Online:2019-07-05 Published:2019-07-05

Abstract: In order to overcome the shortcomings of fixed row number and ignoring spacing constraints between rows in the existing research on multiple row facility layout problem, a multi-objective multiple row facility layout problem model is constructed to optimize material flow cost, layout row number and layout area under the condition of minimum gap constraints, and the model is solved accurately by using Lingo, a mathematical programming software. Based on the multi-objective, multi-constraint and mixed optimization of the proposed problem, a hybrid optimization method of multi-objective differential evolution algorithm and linear programming based on Pareto solution set is proposed. This method uses four-list directly coding method to represent feasible solution, and proposes a decoding method combined with improved line-breaking strategy, which can determine the layout scheme of all possible rows while satisfying boundary constraints. In order to obtain a multi-objective layout result with good convergence and distribution, Pareto method and NSGA-Ⅱ congestion distance mechanism are used to screen external files. The proposed algorithm is applied to solve multiple row facility layout problem with different scales. The effects of three differential evolution modes on the solution quality and efficiency of the proposed method are compared and analysed. Finally, the proposed model and method are applied to two layout examples. The comparative experiments of different algorithms show the effectiveness and superiority of the proposed method.

Key words: evolution algorithm, improve line-wrapping strategies, mixed-integer nonlinear programming, multi-objective optimization, multiple row facility layout problem

CLC Number: