Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
[Display omitted] •Recent advances of the modifications made to the cuckoo search algorithms are summarized.•Percentage improvements made by the modified cuckoo search over the original cuckoo search are computed.•Population reduction and use of biased random walk are the most frequently used modifi...
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| Published in | Applied soft computing Vol. 61; pp. 149 - 173 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.2017
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1568-4946 1872-9681 |
| DOI | 10.1016/j.asoc.2017.07.053 |
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| Abstract | [Display omitted]
•Recent advances of the modifications made to the cuckoo search algorithms are summarized.•Percentage improvements made by the modified cuckoo search over the original cuckoo search are computed.•Population reduction and use of biased random walk are the most frequently used modifications.•Standard parameter settings of the cuckoo search algorithm are suggested.•Challenges and future research directions are highlighted.
Presently, the Cuckoo Search algorithm is attracting unprecedented attention from the research community and applications of the algorithm are expected to increase in number rapidly in the future. The purpose of this study is to assist potential developers in selecting the most suitable cuckoo search variant, provide proper guidance in future modifications and ease the selection of the optimal cuckoo search parameters. Several researchers have attempted to apply several modifications to the original cuckoo search algorithm in order to advance its effectiveness. This paper reviews the recent advances of these modifications made to the original cuckoo search by analyzing recent published papers tackling this subject. Additionally, the influences of various parameter settings regarding cuckoo search are taken into account in order to provide their optimal settings for specific problem classes. In order to estimate the qualities of the modifications, the percentage improvements made by the modified cuckoo search over the original cuckoo search for some selected reviews studies are computed. It is found that the population reduction and usage of biased random walk are the most frequently used modifications. This study can be used by both expert and novice researchers for outlining directions for future development, and to find the best modifications, together with the corresponding optimal setting of parameters for specific problems. The review can also serve as a benchmark for further modifications of the original cuckoo search. |
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| AbstractList | [Display omitted]
•Recent advances of the modifications made to the cuckoo search algorithms are summarized.•Percentage improvements made by the modified cuckoo search over the original cuckoo search are computed.•Population reduction and use of biased random walk are the most frequently used modifications.•Standard parameter settings of the cuckoo search algorithm are suggested.•Challenges and future research directions are highlighted.
Presently, the Cuckoo Search algorithm is attracting unprecedented attention from the research community and applications of the algorithm are expected to increase in number rapidly in the future. The purpose of this study is to assist potential developers in selecting the most suitable cuckoo search variant, provide proper guidance in future modifications and ease the selection of the optimal cuckoo search parameters. Several researchers have attempted to apply several modifications to the original cuckoo search algorithm in order to advance its effectiveness. This paper reviews the recent advances of these modifications made to the original cuckoo search by analyzing recent published papers tackling this subject. Additionally, the influences of various parameter settings regarding cuckoo search are taken into account in order to provide their optimal settings for specific problem classes. In order to estimate the qualities of the modifications, the percentage improvements made by the modified cuckoo search over the original cuckoo search for some selected reviews studies are computed. It is found that the population reduction and usage of biased random walk are the most frequently used modifications. This study can be used by both expert and novice researchers for outlining directions for future development, and to find the best modifications, together with the corresponding optimal setting of parameters for specific problems. The review can also serve as a benchmark for further modifications of the original cuckoo search. |
| Author | Hamza, Mukhtar Fatihu Abubakar, Adamu Saadi, Younes Chiroma, Haruna Abdulkareem, Sameem Herawan, Tutut Shuib, Liyana Fister, Iztok |
| Author_xml | – sequence: 1 givenname: Haruna surname: Chiroma fullname: Chiroma, Haruna email: freedonchi@yahoo.com, freedonchi@gmail.com organization: Federal College of Education (Technical), Department of Computer Science, Gombe, Nigeria – sequence: 2 givenname: Tutut surname: Herawan fullname: Herawan, Tutut email: tutut@um.edu.my organization: University of Malaya, Faculty of Computer Science and IT, Kuala Lumpur, Malaysia – sequence: 3 givenname: Iztok surname: Fister fullname: Fister, Iztok email: iztok.fister2@uni-mb.si organization: University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova, Maribor, Slovenia – sequence: 4 givenname: Iztok surname: Fister fullname: Fister, Iztok email: iztok.fister@uni-mb.si organization: University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova, Maribor, Slovenia – sequence: 5 givenname: Sameem orcidid: 0000-0001-5177-8013 surname: Abdulkareem fullname: Abdulkareem, Sameem email: sameem@um.edu.my organization: University of Malaya, Faculty of Computer Science and IT, Kuala Lumpur, Malaysia – sequence: 6 givenname: Liyana surname: Shuib fullname: Shuib, Liyana email: liyanashuib@um.edu.my organization: University of Malaya, Faculty of Computer Science and IT, Kuala Lumpur, Malaysia – sequence: 7 givenname: Mukhtar Fatihu surname: Hamza fullname: Hamza, Mukhtar Fatihu organization: Bayero University Kano, Faculty of Engineering, Kano, Nigeria – sequence: 8 givenname: Younes surname: Saadi fullname: Saadi, Younes email: younessaadi@gmail.com organization: University of Malaya, Faculty of Computer Science and IT, Kuala Lumpur, Malaysia – sequence: 9 givenname: Adamu surname: Abubakar fullname: Abubakar, Adamu organization: International Islamic University, Malaysia |
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| Keywords | Swarm intelligence Cuckoo search algorithm Nature-inspired algorithms Convergence Optimization metaheuristics |
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| Title | Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm |
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