Cuckoo Search via Lévy flights
Xin‐She Yang, Suash Deb
University of Cambridge Dr. C. V. Raman University
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摘要与影响
In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour of some birds and fruit flies. We validate the proposed algorithm against test functions and then compare its performance with those of genetic algorithms and particle swarm optimization. Finally, we discuss the implication of the results and suggestion for further research.
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计算机 / AIMetaheuristic Optimization Algorithms Research
Diffusion and Search Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
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