Title :
Flat world optimization algorithm
Author :
Van Quang Vo ; Lee, Ju-Jang
Author_Institution :
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
Abstract :
In this paper, a population based method for optimization is proposed. In this 21st century people say ldquoThe world is being flattenedrdquo and in this proposed algorithm we can say ldquothe population is flattenedrdquo. 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.
Keywords :
multi-agent systems; particle swarm optimisation; topology; PSO; flat world optimization algorithm; multiagent system; neighborhood topology; particle swarm optimization; population based method; Birds; Cognition; Educational institutions; Equations; Industrial electronics; Marine animals; Network topology; Optimization methods; Particle swarm optimization; Testing; Flat World; Flat World Optimization; Flat World topology; Neighborhood topology; Optimization; PSO; Swarm Intelligence;
Conference_Titel :
Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4347-5
Electronic_ISBN :
978-1-4244-4349-9
DOI :
10.1109/ISIE.2009.5214294
