Analysis and Research of Several New Intelligent Optimization Algorithms

Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution process of natural creatures or physical phenomena as the algorithm principle. The well-known intelligent optimization algorithms include genetic...

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Vydáno v:Jisuanji kexue yu tansuo Ročník 16; číslo 1; s. 88 - 105
Hlavní autor: ZHANG Jiulong, WANG Xiaofeng, LU Lei, NIU Pengfei
Médium: Journal Article
Jazyk:čínština
Vydáno: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 01.01.2022
Témata:
intelligent optimization algorithms (ioa)|butterfly optimization algorithm (boa)|moth-flame optimi-zation (mfo)|sine cosine algorithm (sca)|grasshopper optimization algorithm (goa)|harris hawks optimization (hho)|sparrow search algorithm (ssa)
ISSN:1673-9418
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Abstract Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution process of natural creatures or physical phenomena as the algorithm principle. The well-known intelligent optimization algorithms include genetic algorithm, particle swarm optimization, simulated annealing algorithm, etc. Intelligent optimization algorithm is a heuristic method, which is widely used in solving optimization problems and provides some new ideas for solving some practical problems. With the advan-cement of science and technology and the increase in the complexity of application scenarios, traditional intelligent optimization algorithms can no longer satisfy optimization problems in terms of solving effects and accuracy. Therefore, new and more efficient intelligent optimization algorithms are constantly being proposed. Several new intelligent optimization algorithms have been proposed at home and abroad in recent years, such as butterfly optim
AbstractList Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution process of natural creatures or physical phenomena as the algorithm principle. The well-known intelligent optimization algorithms include genetic algorithm, particle swarm optimization, simulated annealing algorithm, etc. Intelligent optimization algorithm is a heuristic method, which is widely used in solving optimization problems and provides some new ideas for solving some practical problems. With the advan-cement of science and technology and the increase in the complexity of application scenarios, traditional intelligent optimization algorithms can no longer satisfy optimization problems in terms of solving effects and accuracy. Therefore, new and more efficient intelligent optimization algorithms are constantly being proposed. Several new intelligent optimization algorithms have been proposed at home and abroad in recent years, such as butterfly optim
Author ZHANG Jiulong, WANG Xiaofeng, LU Lei, NIU Pengfei
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  organization: 1. School of Computer Science and Engineering, North Minzu University, Yinchuan 750021, China;2. Key Laboratory for Intelligent Processing of Computer Images and Graphics of National Ethnic Affairs Commission of the PRC, North Minzu University, Yinchuan 750021, China
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Snippet Intelligent optimization algorithms (IOA) refer to a kind of algorithm that is used to solve optimization problems by imitating the survival and evolution...
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SubjectTerms intelligent optimization algorithms (ioa)|butterfly optimization algorithm (boa)|moth-flame optimi-zation (mfo)|sine cosine algorithm (sca)|grasshopper optimization algorithm (goa)|harris hawks optimization (hho)|sparrow search algorithm (ssa)
Title Analysis and Research of Several New Intelligent Optimization Algorithms
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