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The plant growth simulation algorithm based on phototropism
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论文类型: 期刊论文
发表时间: 2015-01-01
发表刊物: ICIC Express Letters
收录刊物: EI、Scopus
卷号: 9
期号: 2
页面范围: 453-459
ISSN号: 1881803X
摘要: Plant growth simulation algorithm (PGSA) is a kind of bionic intelligent optimization algorithm. Based on the plant phototropism as heuristic criterion, this algorithm takes the feasible region of different optimization problems as plant growth environment and transforms the changes of the object function into the growth probability (morphactin density) on different growth points. It then makes dynamic model simulating plant rapid growth towards the light (global optimization). PGSA proposed here is finally demonstrated with satisfactory solution by solving basic study (combinatorial optimization, Number Theory, multi-level optimization, integer programming, etc.) and applied study (electric power, logistics, nuke industry, hydraulic power, machine building, industrial engineering, finance engineering, etc.). ? 2015, ICIC International.

李彤

教授   硕士生导师

主要任职:商学院副院长(主持工作)

性别: 男

毕业院校:天津大学

学位: 博士

所在单位:商学院

学科:管理科学与工程. 企业管理

联系方式:litong@dlut.edu.cn

电子邮箱:litong@dlut.edu.cn

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