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
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Global Optimization | F2 benchmark function | Final Error1.8237 | 25 | |
| Black-box Optimization | F1 | NPR Mean20.3587 | 20 | |
| Optimization | f14 | Mean Result390.8 | 11 | |
| Optimization | benchmark function f15 | Mean Performance390.9 | 11 | |
| Optimization | f20 | Mean Result143.3 | 11 | |
| Optimization | F5 | Mean Result1.18e+6 | 11 | |
| Optimization | F8 | Mean Score162.3 | 11 | |
| Optimization | f16 benchmark function | Mean Performance9.42e+5 | 11 | |
| Optimization | f18 benchmark function | Mean Performance9.39e+3 | 11 | |
| Optimization | f22 | Mean Result0.0388 | 11 |
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