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Introduction to Cuckoo Search and Its Paradigms: A Bibliographic Survey and Recommendations

Authors :
Mohd Shariq Khan
Moonyong Lee
Mohammad Obaid Qamar
Mashhood Hasan
Wahid Ali
Mohammad Ehtisham Khan
Muhammad Abdul Qyyum
Source :
Studies in Big Data ISBN: 9789813344112
Publication Year :
2021
Publisher :
Springer Singapore, 2021.

Abstract

Metaheuristic algorithms are found to be more effective and helpful in working out on complex problems (e.g., optimization and mining, etc.). This chapter presents a survey with a brief overview of the cuckoo algorithm, its latest developments, as well as recommendation for the applications in various disciplines. The presented survey analyzes the algorithm search insight, its Levy flight strategy, and search mechanism efficiency. It was found that despite being capable of solving various complex and multimodal problems researcher further improves cuckoo search algorithm performance. The chapter presents the cuckoo search algorithm, and explains the variants and hybrids of the cuckoo algorithm. Further, the chapter unveils various complex problems of science and engineering where the algorithm can be applied successfully with better convergence and global optimization results.

Details

ISBN :
978-981-334-411-2
ISBNs :
9789813344112
Database :
OpenAIRE
Journal :
Studies in Big Data ISBN: 9789813344112
Accession number :
edsair.doi...........7d7db95c8c062a4d6af6e6b80e0c957f