Cuckoo Search via Levy Flights

TL;DR

This paper introduces Cuckoo Search, a new metaheuristic algorithm inspired by cuckoo parasitism and Levy flights, demonstrating competitive performance on optimization problems.

Contribution

It formulates a novel optimization algorithm combining cuckoo parasitism and Levy flights, and compares its effectiveness with existing methods.

Findings

Cuckoo Search outperforms genetic algorithms and particle swarm optimization on test functions.

The algorithm shows promising convergence properties.

Results suggest potential for further improvements and applications.

Abstract

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.