| 一种热集成系统的动态多智能体微分进化算法 |
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| 引用本文： | 陈上,崔国民,张春伟,段欢欢.一种热集成系统的动态多智能体微分进化算法[J].计算物理,2016,33(3):349-357. |
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| 作者姓名： | 陈上 崔国民 张春伟 段欢欢 |
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| 作者单位： | 上海理工大学能源与动力工程学院, 上海 200093 |
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| 基金项目： | 国家自然科学基金(51176125)，沪江基金研究基地专项(D14001) |
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| 摘 要： | 针对热集成系统换热网络存在的严重非凸非线性与多维多极值问题,提出动态多智能体微分进化算法.结合动态更新策略,并引入多智能体算法的环境感知能力,改进微分进化算法的种群生成方式与变异机制,并增强在大规模复杂非线性系统中的全局搜索能力.通过10SP2与9SP1换热网络经典算例优化,得到最佳年综合费用,体现出了改进算法更优的全局搜索能力.
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| 关 键 词： | 热集成系统 动态更新 多智能体微分进化 全局最优化 |
| 收稿时间： | 2015-05-26 |
| 修稿时间： | 2015-09-10 |
Optimization of Heat Integration in Dynamic Multi-agent Differential Evolution Algorithm |
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| CHEN Shang,CUI Guomin,ZHANG Chunwei,DUAN Huanhuan.Optimization of Heat Integration in Dynamic Multi-agent Differential Evolution Algorithm[J].Chinese Journal of Computational Physics,2016,33(3):349-357. |
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| Authors: | CHEN Shang CUI Guomin ZHANG Chunwei DUAN Huanhuan |
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| Institution: | School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | For optimization problem of heat integration system, serious nonlinear and non-convex heat exchanger network belonging to multi-extremum and multi-dimensional problems are considered. Dynamic multi-agent differential evolution algorithm is provided to solve the problem. It makes use of sensing capability of multi-agent with dynamic update strategy, which improves formation mechanism of population and mutation mechanism of differential evolution algorithm and globle searching ability in large scale nonlinear system. The algorithm was applied to 10SP2 and 9SP1 cases of heat exchanger network problems. Better total annual cost is obtained, which indicates better globle searching ability of the algorithm. |
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| Keywords: | heat integration system dynamic update muti-agent dfferential evolution globle optmization |
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