Study Of The Swarm Intelligence Algorithms

Nature had given the best solutions of any real world problems. From the past few decades researchers & scientiests are trying to obtained nature inspired computational methods such as swarm intelligence, evolutionary algorithm, genetic algorithm etc. which can help to solve the complex problems. intelligence algorithms inspired by biology behaviors known as biomimetic optimization algorithms, such as Ant Colon Optimization (ACO) proposed by Mark Dorigo in 1992, Particle Swam Optimization introduced by James Kennedy and Russ Eberhart in 1995 & Bacterial Foraging Optimization (BFO) proposed by K. M. Passino in 2002, to tackle complex search problems of the real world. This paper present a comprehensive study of several nature inspired algorithms and their applications, advantages & limitation