An Improved Artificial Fish-Swarm Algorithm Based on Gridding Method
Liu Guan · Microelectronics & Computer · 2007
Artificial fish-swarm algorithm is a new random search optimization algorithm.Preliminary study shows that it has many promising features.Based on girding method and tabu search algorithm,an improved artificial fish-swarm algorithm is presented.In the method a large number of unused circuitous searches are reduced,a more complete search within solution space is obtained for artificial fishes so that a high search efficiency is arrived at and determination of satisfactory solution domain is quickened;through gridding of variables space,a method to obtain the optimum solution is provided and use of information board of artificial fish-swarm is strengthened.Results of experiments show that there is an obvious advantage for this improved method when compared with the basic artificial fish-swarm algorithm.