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Cuckoo Search via Levy Flights

About

In this paper, we intend to formulate a new metaheuristic 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 Levy 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.

Xin-She Yang, Suash Deb• 2010

Related benchmarks

TaskDatasetResultRank
Global OptimizationF2 benchmark function
Final Error1.8237
25
Black-box OptimizationF1
NPR Mean20.3587
20
Optimizationf14
Mean Result390.8
11
Optimizationbenchmark function f15
Mean Performance390.9
11
Optimizationf20
Mean Result143.3
11
OptimizationF5
Mean Result1.18e+6
11
OptimizationF8
Mean Score162.3
11
Optimizationf16 benchmark function
Mean Performance9.42e+5
11
Optimizationf18 benchmark function
Mean Performance9.39e+3
11
Optimizationf22
Mean Result0.0388
11
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