[1]Zeng Bing,Wang Mengyu,Gao Liang,et al.Improved Whale Swarm Algorithm and its Application in Steelmaking Continuous Casting Scheduling[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):14-22.[doi:10.13705/j.issn.1671-6833.2018.06.001]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 06
Page number:
14-22
Column:
Public date:
2018-10-24
- Title:
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Improved Whale Swarm Algorithm and its Application in Steelmaking Continuous Casting Scheduling
- Author(s):
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Zeng Bing; Wang Mengyu; Gao Liang; Dong Haozhen
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School of Mechanical Science and Engineering, Huazhong University of Science and Technology
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- Keywords:
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Swarm intelligence optimization algorithm; Whale swarm algorithm; multimodal optimization; Steelmaking and continuous casting scheduling
- CLC:
-
-
- DOI:
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10.13705/j.issn.1671-6833.2018.06.001
- Abstract:
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A new swam intelligent optimization algorithm named Whale Swarm Algorithm (WSA) was studied. The principle and essential procedures of WSA were introduced, and the characteristics of WSA were presented through comparison with other classical swam intelligent optimization algorithms. For multimodal optimization, the iteration rule of WSA was improved, two parameters namely stability threshold and fitness threshold are introduced, and thus WSA with Iterative Counter (WSA-IC) was developed. The experimental results demonstrate that WSA-IC showed good performance in terms of the number and quality of optimal solutions and convergence speed. Then WSA-IC was applied to the steelmaking continuous casting scheduling problem, and proved to have good optimization ability and strong stability through the experiments. Finally, with the above research results, it was summarized that WSA has much value in practice, and further research of WSA can be carried out in theoretical study and practical application.