Improved plant growth simulation and genetic hybrid algorithm (PGSA-GA) and its structural optimization

Shi Kairong; Ruan Zhijian; Jiang Zhengrong; Lin Quanpan; Wang Long

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Improved plant growth simulation and genetic hybrid algorithm (PGSA-GA) and its structural optimization

机译：改进的植物生长模拟与遗传混合算法（PGSA-GA）及其结构优化

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摘要

Purpose The purpose of this paper is to propose a new hybrid algorithm, named improved plant growth simulation algorithm and genetic hybrid algorithm (PGSA-GA), for solving structural optimization problems.

机译：目的本文的目的是提出一种新的混合算法，分别用于改进植物生长模拟算法和遗传混合算法（PGSA-GA），以解决结构优化问题。

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来源
《Engineering Computations》 |2018年第1期|268-286|共19页
作者
Shi Kairong; Ruan Zhijian; Jiang Zhengrong; Lin Quanpan; Wang Long;
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作者单位

South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Guangdong, Peoples R China;

South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Guangdong, Peoples R China;

South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Guangdong, Peoples R China;

South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Guangdong, Peoples R China;

South China Univ Technol, State Key Lab Subtrop Bldg Sci, Guangzhou, Guangdong, Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Plant growth simulation algorithm; Elitist strategy; Hybrid algorithm; Intelligent variable step size; Structural optimization;

机译：植物生长模拟算法精英策略混合算法智能可变步长结构优化;
入库时间 2022-08-18 02:15:10

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2. Quantitative Genetics and Functional–Structural Plant Growth Models: Simulation of Quantitative Trait Loci Detection for Model Parameters and Application to Potential Yield Optimization [J] . Véronique Letort1 Paul Mahe1 Paul-Henry Cournède1 Philippe de Reffye2 and Brigitte Courtois3 Annals of Botany . 2008,第8期

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3. Investigation of a Practical Method of Structural Optimization by Genetic algorithms (Proposal of a Hybrid Ga and application towards the Thickness optimization of a CRT) [J] . Hiroo Sakamoto, Shiro Takada, Junko Itoh JSME International Journal. Series A . 2001,第3期

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4. A hybrid algorithm based on genetic algorithm and plant growth simulation algorithm [C] . Liang Xu, Mu Tao, Huang Ming MIC;International Conference on Measurement, Information and Control . 2012

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5. Simulation and optimization of hybrid photovoltaic (PV) and combined cooling, heating, and power (CCHP) systems using multiobjective genetic algorithms. [D] . Nosrat, Amir Hossein. 2010

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Improved plant growth simulation and genetic hybrid algorithm (PGSA-GA) and its structural optimization

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