ABSTRACT
This paper is an effort to present a cutting edge review and comparative analysis of four swarm based algorithms. The evolutionary algorithms are stochastic methods that take inspirations from the biological systems or social behavior of the species. The work presented here is a comparison of the algorithms on the basis of solution quality; times elapsed and success rate while keeping maximum iteration and population size same for all algorithms. The algorithms which are compared in this work are Gravitational Search Algorithm, Cuckoo Search algorithm, Particle swarm optimization and Genetic algorithm. Each algorithm is presented with pseudo code and flow chart to facilitate the researchers and practitioners. A special attention is thrown to felicitate and explain the unique features of the algorithms in the sections. All the algorithms are applied on benchmark functions specially the multimodal function to exhibit the efficacy and constraints while choosing between global and local optima.
