A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production
文献类型：期刊论文
| 作者 | Zhang H(张浩) ; Zhu YL(朱云龙); Zou WP(邹文平); Yan XH(晏晓辉)
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| 刊名 | APPLIED MATHEMATICAL MODELLING
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| 出版日期 | 2012 |
| 卷号 | 36期号:6页码:2578-2591 |
| 关键词 | Hybrid multi-objective artificial bee colony (HMOABC) Artificial bee colony (ABC) Burdening optimization Multi-objective optimization Copper strip production |
| ISSN号 | 0307-904X |
| 产权排序 | 1 |
| 通讯作者 | 张浩 |
| 中文摘要 | To achieve burdening process optimization of copper strips effectively, a nonlinear constrained multi-objective model is established on the principle of the actual burdening. The problem is formulated with two objectives of minimizing the total cost of raw materials and maximizing the amount of waste material thrown into melting furnace. In this paper, a novel approach called hybrid multi-objective artificial bee colony (HMOABC) to solve this model is proposed. The HMOABC algorithm is new swarm intelligence based multi-objective optimization technique inspired by the intelligent foraging behavior of honey bees, summation of normalized objective values and diversified selection (SNOV-DS) and nondominated sorting approach. Two test examples were studied and the performance of HMOABC is evaluated in comparison with other nature inspired techniques which includes nondominated sorting genetic algorithm II (NSGAII) and multi-objective particle swarm optimization (MOPSO). The numerical results demonstrate HMOABC approach is a powerful search and optimization technique for burdening optimization of copper strips.. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics |
| 研究领域[WOS] | Engineering ; Mathematics ; Mechanics |
| 关键词[WOS] | PERFORMANCE |
| 收录类别 | SCI ; EI |
| 资助信息 | This research is partially supported by National Natural Science Foundation of China 61174164, supported by National Natural Science Foundation of China 61003208 and supported by National Natural Science Foundation of China 61105067. |
| 语种 | 英语 |
| WOS记录号 | WOS:000301404600020 |
| 公开日期 | 2012-10-24 |
| 源URL | [http://ir.sia.cn/handle/173321/9967]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhang H,Zhu YL,Zou WP,et al. A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production[J]. APPLIED MATHEMATICAL MODELLING,2012,36(6):2578-2591. |
| APA | Zhang H,Zhu YL,Zou WP,&Yan XH.(2012).A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production.APPLIED MATHEMATICAL MODELLING,36(6),2578-2591. |
| MLA | Zhang H,et al."A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production".APPLIED MATHEMATICAL MODELLING 36.6(2012):2578-2591. |
入库方式： OAI收割
来源：沈阳自动化研究所
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