DIFFERENTIAL EVOLUTION ALGORITHM BASED ON EUGENIC STRATEGY AND ITS APPLICATION TO CHEMICAL ENGINEERING
|更新时间:2025-12-10
|
DIFFERENTIAL EVOLUTION ALGORITHM BASED ON EUGENIC STRATEGY AND ITS APPLICATION TO CHEMICAL ENGINEERING
CIESC JournalIssue 4, Pages: 598-602(2004)
作者机构:
浙江大学化学工程与生物工程学系仿真中心,浙江,杭州,310027
作者简介:
基金信息:
DOI:
CLC:
Online First:25 April 2004,
Published:25 April 2004
稿件说明:
移动端阅览
FANG Qiang, CHEN Dezhao, YU Huanjun, et al. DIFFERENTIAL EVOLUTION ALGORITHM BASED ON EUGENIC STRATEGY AND ITS APPLICATION TO CHEMICAL ENGINEERING[J]. CIESC Journal, 2004, (4): 598-602.
DOI:
FANG Qiang, CHEN Dezhao, YU Huanjun, et al. DIFFERENTIAL EVOLUTION ALGORITHM BASED ON EUGENIC STRATEGY AND ITS APPLICATION TO CHEMICAL ENGINEERING[J]. CIESC Journal, 2004, (4): 598-602.DOI:
DIFFERENTIAL EVOLUTION ALGORITHM BASED ON EUGENIC STRATEGY AND ITS APPLICATION TO CHEMICAL ENGINEERING
In this study a modified evolution algorithm (MDE) was proposed to improve the searching efficiency of simple differential evolution algorithm (DE). The modified evolution algorithm advanced the performance of global optimization through collecting population information during evolution and at the same time introducing deterministic operation
amending distribution of individuals adaptively. The methods proposed include maintaining population diversity
adding new deterministic simplex searching operation
modifying the probability operation
and others. A typical example indicated good performance of this algorithm. Finally
the MDE has been successfully applied to nonlinear parameter estimation of the model of low temperature SO2 oxidation with Cs-Rb-V sulfuric acid catalyst.