TY - CHAP
T1 - Introduction to Cuckoo Search and Its Paradigms
T2 - A Bibliographic Survey and Recommendations
AU - Ali, Wahid
AU - Khan, Mohd Shariq
AU - Hasan, Mashhood
AU - Khan, Mohammad Ehtisham
AU - Qyyum, Muhammad Abdul
AU - Qamar, Mohammad Obaid
AU - Lee, Moonyong
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - 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 Lévy 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.
AB - 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 Lévy 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.
KW - Applications
KW - Cuckoo search
KW - Hybrids
KW - Metaheuristic algorithm
KW - Optimization
KW - Survey
KW - Variants
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U2 - 10.1007/978-981-33-4412-9_4
DO - 10.1007/978-981-33-4412-9_4
M3 - Chapter
AN - SCOPUS:85119447877
T3 - Studies in Big Data
SP - 79
EP - 93
BT - Studies in Big Data
PB - Springer Science and Business Media Deutschland GmbH
ER -