DocumentCode :
185301
Title :
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
Link To Document :
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