Crab mating optimization algorithm

Author

Chifu, Viorica R. ; Salomie, Ioan ; Chifu, Emil St ; Negrean, Adela ; Jeflea, Horatiu ; Antal, Marcel

Author_Institution

Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2014

fDate

17-19 Oct. 2014

Firstpage

353

Lastpage

358

Abstract

In this paper we propose a new nature inspired algorithm for solving optimization problems: the Crab Mating Optimization Algorithm. The algorithm proposed is inspired from the breeding behavior of crabs in nature. We followed two main steps when developing the Crab mating optimization algorithm: (i) analyzing the breeding behavior of crabs in nature, and modeling the identified concepts and processes to fit to the optimization problem; (ii) elaborating a Crab Mating Optimization Algorithm for solving optimization problems, based on the above. The new algorithm was tested on the domain of Web service composition. The experimental results demonstrate that the algorithm is able to provide good fitness values in a short execution time.

Keywords

optimisation; Web service composition; crab breeding behavior; crab mating optimization algorithm; nature inspired algorithm; optimization problems; Optimization; Particle swarm optimization; Quality of service; Search problems; Sociology; Statistics; Web services; Web services; composition of Web services; crab mating; nature inspired meta-heuristics;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2014 18th International Conference

Conference_Location

Sinaia

Type

conf

DOI

10.1109/ICSTCC.2014.6982441

Filename

6982441