Engineering Optimisation by Cuckoo Search
arXiv:1005.2908
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.
17 pages; Yang, X.-S., and Deb, S. (2010), Engineering Optimisation by Cuckoo Search. This revised version included a demo version of the cuckoo search as a supplement
Cited by in corpus (5)
- Free Lunch or No Free Lunch: That is not Just a Question?
- A New K means Grey Wolf Algorithm for Engineering Problems
- Cuckoo Search Inspired Hybridization of the Nelder-Mead Simplex Algorithm Applied to Optimization of Photovoltaic Cells
- PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation
- Mathematical Modelling and Parameter Optimization of Pulsating Heat Pipes