원문정보
초록
영어
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.
목차
1. Introduction
2. Evolutionary Algorithms
A. Genetic Algorithms
B. Genetic Programming
C. Evolutionary Strategies
3. Swarm Intelligence
A. Particle Swarm Optimization
B. Ant Colony Optimization
C. Artificial Bee Colony Optimization
4. Conclusion
References