期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：6
DOI：10.15680/ijircce.2015.0306137
出版社：S&S Publications
摘要：Various algorithms based on the natural behaviour of some special kind of animals, are beenintroduced, which are also known as Meta-heuristic Algorithms. These algorithms are used widely in many areas andthey provide various approaches for solving a variety of optimization problems which can't be solved easily by usingthe conventional methods. The main advantage of using such approaches are that they can perform a variety ofcontinuous searches for the given search space. In this paper, a comparative analysis of four different Meta-heuristicAlgorithms, namely, Genetic Algorithm(GA), Cuckoo Search(CS), Particle Swarm Optimization(PSO) and Ant ColonyOptimization(ACO) are being studied and presented. This study includes the analysis of Publication Year, Variations,Parameter used, Features & Area of application and the main highlights is on the Specialized Area of these algorithmsin SRGM.
