A novel evolutionary root system growth algorithm for solving multi-objective optimization problems
文献类型：期刊论文
| 作者 | Ma LB(马连博) ; Wang XW(王兴伟); Huang M(黄敏); Zhang H(张浩); Chen HN(陈瀚宁)
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| 刊名 | Applied Soft Computing Journal
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| 出版日期 | 2017 |
| 卷号 | 57页码:379-398 |
| ISSN号 | 1568-4946 |
| 关键词 | Multi-objective optimization Root growth Burdening calculation |
| 通讯作者 | 马连博 ; 王兴伟 |
| 产权排序 | 3 |
| 中文摘要 | This paper proposes a novel multi-objective root system growth optimizer (MORSGO) for the copper strip burdening optimization. The MORSGO aims to handle multi-objective problems with satisfactory convergence and diversity via implementing adaptive root growth operators with a pool of multi-objective search rules and strategies. Specifically, the single-objective root growth operators including branching, regrowing and auxin-based tropisms are deliberately designed. They have merits of appropriately balancing exploring & exploiting and self-adaptively varying population size to reduce redundant computation. The effective multi-objective strategies including the fast non-dominated sorting and the farthest-candidate selection are developed for saving and retrieving the Pareto optimal solutions with remarkable approximation as well as uniform spread of Pareto-optimal solutions. With comprehensive evaluation against a suit of benchmark functions, the MORSGO is verified experimentally to be superior or at least comparable to its competitors in terms of the IGD and HV metrics. The MORSGO is then validated to solve the real-world copper strip burdening optimization with different elements. Computation results verifies the potential and effectiveness of the MORSGO to resolve complex industrial process optimization. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/20427]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 推荐引用方式 GB/T 7714 | Ma LB,Wang XW,Huang M,et al. A novel evolutionary root system growth algorithm for solving multi-objective optimization problems[J]. Applied Soft Computing Journal,2017,57:379-398. |
| APA | Ma LB,Wang XW,Huang M,Zhang H,&Chen HN.(2017).A novel evolutionary root system growth algorithm for solving multi-objective optimization problems.Applied Soft Computing Journal,57,379-398. |
| MLA | Ma LB,et al."A novel evolutionary root system growth algorithm for solving multi-objective optimization problems".Applied Soft Computing Journal 57(2017):379-398. |
入库方式： OAI收割
来源：沈阳自动化研究所
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