英文摘要
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【摘 要】A Differential Evolution Algorithm with Hybrid Search Strategy based on Multi-population for Heat Exchanger Network Synthesis
DUAN Huan-huan, CUI Guo-min, CHEN Jia-Xing, CHEN Shang ( Research Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai, China, Post Code : 200093 )
The basic differential evolution (DE) algorithm dropped into the local optimum when applied in the synthesis of heat exchanger networks. To solve this phenomenon of premature convergence, a DE algorithm incorporated with a hybrid search strategy based on multi-population was proposed in this paper.
DUAN Huan-huan, CUI Guo-min, CHEN Jia-Xing, CHEN Shang ( Research Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai, China, Post Code : 200093 )
The basic differential evolution (DE) algorithm dropped into the local optimum when applied in the synthesis of heat exchanger networks. To solve this phenomenon of premature convergence, a DE algorithm incorporated with a hybrid search strategy based on multi-population was proposed in this paper.
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