Flat world optimization algorithm
Van Quang Vo, Ju-Jang Lee · 2009
In this paper, a population based method for optimization is proposed. In this 21st century people say “The world is being flattened” and in this proposed algorithm we can say “the population is flattened”. The paper introduces a neighborhood topology, named as flat world neighborhood topology, and a optimization tool, named as Flat World Optimization. The proposed algorithm exploits the flat world properties, the natural selection and the particle swarm optimization (PSO) therefore making it a very powerful algorithm. A number of tests have been conducted and the results are compared with some relevant PSO variants to illustrate the algorithm cornerstones.