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Engineering optimisation by cuckoo search

International Journal of Mathematical Modelling and Numerical OptimisationPublished 1 January 2010
Xin‐She Yang, Suash Deb
Citations1,557
SJR quartileQ4
SJR score0.14
SNIP0.26

TL;DR

This paper presents a more extensive comparison study using some standard test functions and newly designed stochastic test functions to apply the CS algorithm to solve engineering design optimisation problems, including the design of springs and welded beam structures.

Abstract

A new metaheuristic optimisation algorithm, called Cuckoo Search (CS), was developed recently by Yang and Deb (2009).This paper presents a more extensive comparison study using some standard test functions and newly designed stochastic test functions.We then apply the CS algorithm to solve engineering design optimisation problems, including the design of springs and welded beam structures.The optimal solutions obtained by CS are far better than the best solutions obtained by an efficient particle swarm optimiser.We will discuss the unique search features used in CS and the implications for further research.

Keywords

Computer Science