文章基本信息

标题：An Exhaustive Survey on Nature Inspired Optimization Algorithms
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作者：Manish Dixit ; Nikita Upadhyay ; Sanjay Silakari 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：4
页码：91-104
DOI：10.14257/ijseia.2015.9.4.11
出版社：SERSC
摘要：Human being are greatly inspired by nature. Nature has the ability to solve very complex problems in its own distinctive way. The problems around us are becoming more and more complex in the real time and at the same instance our mother nature is guiding us to solve these natural problems. Nature gives some of the logical and effective ways to find solution to these problems. Nature acts as an optimizer for solving the complex problems. In this paper, the algorithms which are discussed imitate the processes running in nature. And due to this these process are named as "Nature Inspired Algorithms". The algorithms inspired from human body and its working and the algorithms inspired from the working of groups of social agents like ants, bees, and insects are the two classes of solving such Problems. This emerging new era is highly unexplored young for the research. This paper proposes the high scope for the development of new, better and efficient techniques and application in this area.
关键词：Nature inspired algorithms; Evolutionary algorithms; Swarm intelligence; ; Genetic Algorithm