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检索条件"主题词=Population-based optimization algorithm"
6 条 记 录,以下是1-10 订阅
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An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for population-based Constrained optimization
An Equivalent Penalty Coefficient Method: An Adaptive Penalt...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Takahama, Tetsuyuki Sakai, Setsuko Hiroshima City Univ Dept Intelligent Syst Asaminami Ku Hiroshima 7313194 Japan Hiroshima Shudo Univ Fac Commercial Sci Asaminami Ku Hiroshima 7313195 Japan
The penalty function method has been widely used for solving constrained optimization problems. In the method, an extended objective function, which is the sum of the objective value and the constraint violation weigh... 详细信息
来源: 评论
CBSO: a memetic brain storm optimization with chaotic local search
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MEMETIC COMPUTING 2018年 第4期10卷 353-367页
作者: Yu, Yang Gao, Shangce Cheng, Shi Wang, Yirui Song, Shuangyu Yuan, Fenggang Univ Toyama Fac Engn Toyama 9308555 Japan Shaanxi Normal Univ Xian Shaanxi Peoples R China
Brain storm optimization (BSO) is a newly proposed optimization algorithm inspired by human being brainstorming process. After its appearance, much attention has been paid on and many attempts to improve its performan... 详细信息
来源: 评论
SIS epidemic model-based optimization
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JOURNAL OF COMPUTATIONAL SCIENCE 2014年 第1期5卷 32-50页
作者: Huang, Guang-qiu Xian Univ Architecture & Technol Sch Management Xian 710055 Peoples R China
To solve complicated function optimization problems, a function optimization algorithm is constructed based on the Susceptible-Infective-Susceptible (SIS) epidemic model, the function optimization algorithm is called ... 详细信息
来源: 评论
An optimizer ensemble algorithm and its application to image registration
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INTEGRATED COMPUTER-AIDED ENGINEERING 2019年 第4期26卷 311-327页
作者: Yan, Xiaohu He, Fazhi Zhang, Yongjun Xie, Xunwei Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Hubei Peoples R China Wuhan Univ Sch Comp Sci Wuhan Hubei Peoples R China
The design of effective optimization algorithms is always a hot research topic. An optimizer ensemble where any population-based optimization algorithm can be integrated is proposed in this study. First, the optimizer... 详细信息
来源: 评论
A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2017年 第2期261卷 460-474页
作者: Deb, Kalyanmoy Myburgh, Christie Michigan State Univ Dept Elect & Comp Engn E Lansing MI 48824 USA Maptek Pty Ltd Level 2190 Aberdeen St Northbridge WA 6003 Australia
Among various complexities affecting the performance of an optimization algorithm, the search space dimension is a major factor. Another key complexity is the discreteness of the search space. When these two complexit... 详细信息
来源: 评论
Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method
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ARTIFICIAL LIFE AND ROBOTICS 2020年 第4期25卷 612-623页
作者: Takahama, Tetsuyuki Sakai, Setsuko Hiroshima City Univ Hiroshima Japan Hiroshima Shudo Univ Hiroshima Japan
The penalty function method has been widely used to solve constrained optimization problems. In the method, an extended objective function, which is the sum of the objective value and the constraint violation weighted... 详细信息
来源: 评论