A Novel Crow Search Algorithm Based on Improved Flower Pollination

Crow search algorithm (CSA) is a new type of swarm intelligence optimization algorithm proposed by simulating the crows’ intelligent behavior of hiding and retrieving food. The algorithm has the characteristics of simple structure, few control parameters, and easy implementation. Like most optimizat...

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Autores principales:	Qian Cheng, Huajuan Huang, Minbo Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/fa1559bea8504a088254703f43ee182f
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spelling	oai:doaj.org-article:fa1559bea8504a088254703f43ee182f2021-11-08T02:35:43ZA Novel Crow Search Algorithm Based on Improved Flower Pollination1563-514710.1155/2021/1048879https://doaj.org/article/fa1559bea8504a088254703f43ee182f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1048879https://doaj.org/toc/1563-5147Crow search algorithm (CSA) is a new type of swarm intelligence optimization algorithm proposed by simulating the crows’ intelligent behavior of hiding and retrieving food. The algorithm has the characteristics of simple structure, few control parameters, and easy implementation. Like most optimization algorithms, the crow search algorithm also has the disadvantage of slow convergence and easy fall into local optimum. Therefore, a crow search algorithm based on improved flower pollination algorithm (IFCSA) is proposed to solve these problems. First, the search ability of the algorithm is balanced by the reasonable change of awareness probability, and then the convergence speed of the algorithm is improved. Second, when the leader finds himself followed, the cross-pollination strategy with Cauchy mutation is introduced to avoid the blindness of individual location update, thus improving the accuracy of the algorithm. Experiments on twenty benchmark problems and speed reducer design were conducted to compare the performance of IFCSA with that of other algorithms. The results show that IFCSA has better performance in function optimization and speed reducer design problem.Qian ChengHuajuan HuangMinbo ChenHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Qian Cheng Huajuan Huang Minbo Chen A Novel Crow Search Algorithm Based on Improved Flower Pollination
description	Crow search algorithm (CSA) is a new type of swarm intelligence optimization algorithm proposed by simulating the crows’ intelligent behavior of hiding and retrieving food. The algorithm has the characteristics of simple structure, few control parameters, and easy implementation. Like most optimization algorithms, the crow search algorithm also has the disadvantage of slow convergence and easy fall into local optimum. Therefore, a crow search algorithm based on improved flower pollination algorithm (IFCSA) is proposed to solve these problems. First, the search ability of the algorithm is balanced by the reasonable change of awareness probability, and then the convergence speed of the algorithm is improved. Second, when the leader finds himself followed, the cross-pollination strategy with Cauchy mutation is introduced to avoid the blindness of individual location update, thus improving the accuracy of the algorithm. Experiments on twenty benchmark problems and speed reducer design were conducted to compare the performance of IFCSA with that of other algorithms. The results show that IFCSA has better performance in function optimization and speed reducer design problem.
format	article
author	Qian Cheng Huajuan Huang Minbo Chen
author_facet	Qian Cheng Huajuan Huang Minbo Chen
author_sort	Qian Cheng
title	A Novel Crow Search Algorithm Based on Improved Flower Pollination
title_short	A Novel Crow Search Algorithm Based on Improved Flower Pollination
title_full	A Novel Crow Search Algorithm Based on Improved Flower Pollination
title_fullStr	A Novel Crow Search Algorithm Based on Improved Flower Pollination
title_full_unstemmed	A Novel Crow Search Algorithm Based on Improved Flower Pollination
title_sort	novel crow search algorithm based on improved flower pollination
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/fa1559bea8504a088254703f43ee182f
work_keys_str_mv	AT qiancheng anovelcrowsearchalgorithmbasedonimprovedflowerpollination AT huajuanhuang anovelcrowsearchalgorithmbasedonimprovedflowerpollination AT minbochen anovelcrowsearchalgorithmbasedonimprovedflowerpollination AT qiancheng novelcrowsearchalgorithmbasedonimprovedflowerpollination AT huajuanhuang novelcrowsearchalgorithmbasedonimprovedflowerpollination AT minbochen novelcrowsearchalgorithmbasedonimprovedflowerpollination
_version_	1718443249525325824

A Novel Crow Search Algorithm Based on Improved Flower Pollination

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