A dynamic step-size adaptation roach infestation optimization

Author

Obagbuwa, Ibidun C. ; Adewumi, Aderemi Oluyinka ; Adebiyi, Ayodele A.

Author_Institution

Sch. of Math., Univ. of KwaZulu-Natal, Durban, South Africa

fYear

2014

fDate

21-22 Feb. 2014

Firstpage

1201

Lastpage

1205

Abstract

This paper introduces simple Euler method to the existing roach infestation optimization algorithm to improve swarm stability and enhance local and global search performance. A dynamic step size adaptation roach infestation optimization (DSARIO) algorithm is proposed using the Euler step size adaptation. Experimental results obtained from the proposed algorithm demonstrated improved accuracy and convergence ability over existing roach infestation optimization algorithm. Also the numerical results with the proposed algorithm show clearly its ability to solve multi-dimensional problems. The performance of the proposed algorithm is compared with that of existing roach infestation optimization and hungry roach infestation optimization algorithms.

Keywords

convergence; optimisation; search problems; DSARIO algorithm; Euler method; Euler step size adaptation; convergence; dynamic step size adaptation roach infestation optimization algorithm; global search performance; hungry roach infestation optimization algorithm; local search performance; multidimensional problem; swarm stability; Adaptation models; Benchmark testing; Educational institutions; Heuristic algorithms; Mathematical model; Optimization; Particle swarm optimization; Cockroach; Euler Method; Exploitation; Exploration; Infestation; Multi-Dimensional Problems; Optimization; Social behaviours; Step-Size Adaptation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2014 IEEE International

Conference_Location

Gurgaon

Print_ISBN

978-1-4799-2571-1

Type

conf

DOI

10.1109/IAdCC.2014.6779498

Filename

6779498