Cuckoo Search Algorithm for Optimization Problems - A Literature Review

Author:

Mohamad Azizah1,Zain Azlan Mohd1,Bazin Nor Erne Nazira1,Udin Amirmudin1

Affiliation:

1. Universiti Teknologi Malaysia

Abstract

Cuckoo Search (CS) is an optimization algorithm developed by Yang and Deb in 2009. This paper describes an overview of CS which is inspired by the life of a bird family, called Cuckoo as well as overview of CS applications in various categories for solving optimization problems. Special lifestyle of Cuckoo and their characteristics in egg laying and breeding has been the basic motivation for this optimization algorithm. The categories that reviewed are Engineering, Pattern Recognition, Software Testing & Data Generation, Networking, Job Scheduling and Data Fusion and Wireless Sensor Networks. From the reviewed CS mostly applied in engineering area for solving optimization problems. The objective of this paper is to provide overview and summarize the review of application of the CS.

Publisher

Trans Tech Publications, Ltd.

Reference26 articles.

1. Abdul Rani, K. N., & Malek, F. (2011, November). Preliminary study on cuckoo search parameters for symmetric linear array geometry synthesis. In TENCON 2011-2011 IEEE Region 10 Conference (pp.568-572). IEEE.

2. Bacanin, N. (2011, April). An object-oriented software implementation of a novel cuckoo search algorithm. In Proc. of the 5th European Conference on European Computing Conference (ECC'11) (pp.245-250).

3. Bacanin, N. (2012). Implementation and performance of an object-oriented software system for cuckoo search algorithm. International Journal of Mathematics and Computers in Simulation, 6(1), 185-193.

4. Burnwal, S., & Deb, S. (2012). Scheduling optimization of flexible manufacturing system using cuckoo search-based approach. The International Journal of Advanced Manufacturing Technology, 1-9.

5. Chifu, V., Pop, C., Salomie, I., Suia, D., & Niculici, A. (2012). Optimizing the Semantic Web Service Composition Process Using Cuckoo Search. Intelligent Distributed Computing V, 93- 102.

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