• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 57 Issue 6
Dec.  2022
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Article Contents
LIU Junqi, ZHANG Zeqiang, GONG Juhua, ZHANG Yu. Modeling and Optimization Method of Constrained Corridor Allocation Problem[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1376-1385. doi: 10.3969/j.issn.0258-2724.20200803
Citation: LIU Junqi, ZHANG Zeqiang, GONG Juhua, ZHANG Yu. Modeling and Optimization Method of Constrained Corridor Allocation Problem[J]. Journal of Southwest Jiaotong University, 2022, 57(6): 1376-1385. doi: 10.3969/j.issn.0258-2724.20200803

Modeling and Optimization Method of Constrained Corridor Allocation Problem

doi: 10.3969/j.issn.0258-2724.20200803
  • Received Date: 01 Dec 2020
  • Rev Recd Date: 22 Mar 2021
  • Available Online: 13 Aug 2022
  • Publish Date: 26 Mar 2021
  • In order to study the influence of facility relationship on layout in corridor allocation problem, An integer programming model considering location and relationship constraints is constructed, and a hybrid clonal selection algorithm based on clonal selection algorithm is proposed to solve the problem. Before clonal operation, a new 2-opt operation based on problem characteristics is added. Then, tabu search operation is carried out for the optimal individuals in the generated population, mutation operation is carried out for other individuals and adaptive mutation probability is set. The model is accurately solved to verify the correctness of the model and the solution results provide a theoretical basis for the algorithm. Applying the proposed algorithm to test 42−49 scale examples of constrained corridor allocation problem and basic corridor allocation problem respectively. The results are compared with clonal selection algorithm, genetic Algorithm, Scatter Search, flower pollination algorithm and fireworks algorithm. The results show that the hybrid clone selection algorithm can achieve the solution effect of the current advanced algorithm and perform better in the examples sko-42-04 and sko-49-03.

     

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