NDLI: Cuckoo Search Algorithm

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Cuckoo Search Algorithm

Content Provider	Scilit
Author	Vasuki, A.
Copyright Year	2020
Description	Metaheuristic algorithms are very powerful in solving complex real-life problems since they are inspired by natural phenomena. Biological organisms in nature have their own evolutionary processes and mechanisms of survival in hostile environments. The main characteristics of metaheuristic algorithms of intensification and diversification are responsible for the effective performance in solving complex engineering problems and NP-hard problems in computer science. Intensification and diversification lead to good exploitation and exploration properties of the algorithm which are necessary for intense local search and diversified global search. Inculcation of Levy flight behavior into the metaheuristic optimization algorithm improves the performance for exploitation as well as exploration. Some birds and insects, especially fruit flies, exhibit Levy flight behavior. Levy flight is movement of a bird or insect in straight-line paths punctuated by sharp 90° turns. Book Name: Nature-Inspired Optimization Algorithms
Related Links	https://content.taylorfrancis.com/books/download?dac=C2019-0-98738-8&isbn=9780429289071&doi=10.1201/9780429289071-11&format=pdf
Ending Page	156
Page Count	14
Starting Page	143
DOI	10.1201/9780429289071-11
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-05-31
Access Restriction	Open
Subject Keyword	Book Name: Nature-inspired Optimization Algorithms Cybernetical Science Behavior Survival Optimization Bird Algorithms Flight Intensification Insect Algorithm Metaheuristic
Content Type	Text
Resource Type	Chapter

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