A Coupled Evolutionary Strategy for Complex Heat Exchanger Network Optimization

doi:10.19596/j.cnki.1001-246x.7762

Abstract

Abstract: Aiming at popularing diversity is disappared or other reasons in the later stage of optimiging heat exchanger network synthesis problem, it is difficult to find direction of evolution which makes total annual cost further reduce in optimization. A coupling evolution strategy of heat exchanger was proposed. In later stage of heuristic algorithm optimization, heat exchangers with no heat load are taken into coupled evolution by a certain probability distribution, to find coupling match to reduce cost. It shows that the strategy is effective. The strategy was combined with RWCE algorithm to form a hybrid algorithm. Firstly, RWCE algorithm was used to explore solution domain to find potential solutions by its strong global searching ability. Secondly, the coupled evolution strategy is applied to further optimize for these explored solutions. Thirdly, the further optimized solutions are fed back to RWCE algorithm after mutated. The hybrid algorithm is applied to 10SP2 and 15SP, and better optimization results are obtained.

Key words: coupling, heat exchanger network, restrictive relation, random walk algorithm with compulsive evolution

CLC Number:

TK124

DENG Weidong, CUI Guomin, XIAO Yuan. A Coupled Evolutionary Strategy for Complex Heat Exchanger Network Optimization[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 35(6): 675-684.

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