Self-adaptive root growth model for constrained multi-objective optimization
文献类型：会议论文
| 作者 | Zhang H(张浩); Zhu YL(朱云龙) ; Zhang DY(张丁一)
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| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE Congress on Evolutionary Computation, CEC 2013 |
| 会议日期 | June 20-23, 2013 |
| 会议地点 | Cancun, Mexico |
| 关键词 | Benchmarking Constrained optimization |
| 页码 | 2360-2367 |
| 中文摘要 | This paper presents a general optimization model gleaned ideas from plant root growth behaviors in the soil. The purpose of the study is to investigate a novel biologically inspired methodology for complex system modelling and computation, particularly for constrained multi-objective optimization. A novel method called 'multi-objective root growth algorithm' (MORGA) for constrained multi-objective optimization is proposed based on the root growth model. A self-adaptive strategy is adopted to tie this model closer to plant root growth behaviors in nature, as well as improve the robustness of MORGA. Simulation experiments of MORGA on a set of benchmark test functions are compared with other nature inspired techniques for multi-objective optimization which includes nondominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The numerical results demonstrate MORGA approach is a powerful search and optimization technique for constrained multi-objective optimization. © 2013 IEEE. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2013 IEEE Congress on Evolutionary Computation, CEC 2013
 |
| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, United States |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-0454-9 |
| WOS记录号 | WOS:000326235302048 |
| 源URL | [http://ir.sia.cn/handle/173321/12402]  |
| 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,Zhang DY. Self-adaptive root growth model for constrained multi-objective optimization[C]. 见:2013 IEEE Congress on Evolutionary Computation, CEC 2013. Cancun, Mexico. June 20-23, 2013. |
入库方式： OAI收割
来源：沈阳自动化研究所
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