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应用广义简约梯度算法增强遗传算法求解化工冶金相平衡
张会刚; 朱庆山
2005
Source Publication化工学报
Issue06Pages:1035-1040
Abstract研究可靠的相平衡计算对化工冶金过程有很重要意义,本文采用广义简约梯度法(GRG)来增强遗传算法(GA)用于相平衡计算过程,在遗传算法演化快结束时引入GRG算子,演化结束后使用GRG精修结果,克服了GA局部搜索能力不强的缺点,加快了搜索速度.KClFeCl2体系相平衡计算结果显示这种混合算法(HybridAlgorithms)能够提高GA效率的同时保留了全局收敛的优点,因此其在化工冶金相平衡计算中将有广泛的应用前景.
Keyword相平衡计算 Gibbs自由能最小化 遗传算法 简约梯度法
Document Type期刊论文
Version出版稿
Identifierhttp://ir.ipe.ac.cn/handle/122111/4842
Collection研究所(批量导入)
Recommended Citation
GB/T 7714
张会刚,朱庆山. 应用广义简约梯度算法增强遗传算法求解化工冶金相平衡[J]. 化工学报,2005(06):1035-1040.
APA 张会刚,&朱庆山.(2005).应用广义简约梯度算法增强遗传算法求解化工冶金相平衡.化工学报(06),1035-1040.
MLA 张会刚,et al."应用广义简约梯度算法增强遗传算法求解化工冶金相平衡".化工学报 .06(2005):1035-1040.
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