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混合遗传算法及其在翼型气动多目标优化设计中的应用 被引量:4
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作者 王晓鹏 《空气动力学学报》 CSCD 北大核心 2001年第3期256-261,共6页
把基于实数编码的自适应遗传算法 (SAGA)与可变容差法相结合 ,建立了数值优化设计中的混合遗传算法 (HGA) ,并将其与翼型的气动分析相结合进行跨声速翼型的单目标和多目标气动优化设计。与自适应遗传算法相比 ,混合遗传算法的优化质量... 把基于实数编码的自适应遗传算法 (SAGA)与可变容差法相结合 ,建立了数值优化设计中的混合遗传算法 (HGA) ,并将其与翼型的气动分析相结合进行跨声速翼型的单目标和多目标气动优化设计。与自适应遗传算法相比 ,混合遗传算法的优化质量略有改善 ,优化效率有明显的提高。优化结果表明混合遗传算法在翼型单目标和多目标气动优化设计中是十分有效的。 展开更多
关键词 混合遗传算法 跨声速翼型 气动优化设计 随机性优化方法 HGA 单目标气动优化设计 多目标气动优化设计 自适应遗传算法 SAGA
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A systematic approach for synthesizing a low-temperature distillation system 被引量:5
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作者 Yiqing Luo Liang Kong Xigang Yuan 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第5期789-795,共7页
In this paper, by combining a stochastic optimization method with a refrigeration shaft work targeting method,an approach for the synthesis of a heat integrated complex distillation system in a low-temperature process... In this paper, by combining a stochastic optimization method with a refrigeration shaft work targeting method,an approach for the synthesis of a heat integrated complex distillation system in a low-temperature process is presented. The synthesis problem is formulated as a mixed-integer nonlinear programming(MINLP) problem,which is solved by simulated annealing algorithm under a random procedure to explore the optimal operating parameters and the distillation sequence structure. The shaft work targeting method is used to evaluate the minimum energy cost of the corresponding separation system during the optimization without any need for a detailed design for the heat exchanger network(HEN) and the refrigeration system(RS). The method presented in the paper can dramatically reduce the scale and complexity of the problem. A case study of ethylene cold-end separation is used to illustrate the application of the approach. Compared with the original industrial scheme, the result is encouraging. 展开更多
关键词 Energy System engineering Low-temperature distillation system Process synthesis Distillation sequence Shaft work target
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