Optimization of heat exchanger network by random walk algorithm with compulsive evolution with structure-protection strategy

被引：0
|
作者：
Bao Z. [1 ]
Cui G. [1 ]
Chen J. [1 ]
机构：
[1] Institute of New Energy Science and Engineering, University of Shanghai for Science and Technology, Shanghai
来源：
Cui, Guomin (cgm@usst.edu.cn) | 2017年 / Materials China卷 / 68期
基金：
中国国家自然科学基金;
关键词：
Heat exchanger network; Optimization; Random walk algorithm with compulsive evolution; Structure-protection strategy;
D O I：
10.11949/j.issn.0438-1157.20170425
中图分类号：
学科分类号：
摘要：
A structure-protection strategy was proposed to eliminate the deficiency since structures with great evolutionary potentials could be substituted with bad solutions when random walk algorithm with compulsive evolution (RWCE) was applied to heat exchanger network optimization. A new population evolving in parallel with the original population was set to execute structure protection. Individuals in the new population are corresponded with ones in the original population and received their current optimal solutions to form a protective effect. Meanwhile, a novel evolution technique named as "dimensionality-reduction local search" was proposed for the new population. The technique determined the search dimension by controlling the update probability of each dimension, which could tap the evolutionary potentials of the protected solutions fully and thus improving the local search ability. Moreover, major evolution operations of RWCE were adopted by the original population and thus the strong global search ability was maintained. The RWCE with the structure-protection strategy was applied to optimize heat exchanger network with stream splits, some results superior to the reported ones were obtained, demonstrating that the proposed method possessed strong abilities in both the global and local search and improved the search quality. © All Right Reserved.
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页码：3522 / 3531
页数：9
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