Improved tabu search algorithm for continuous problems

An improved tabu search algorithm for solving continuous function optimization problems was proposed.Neighborhood rules and taboo rules were the core of tabu search algorithm.Based on the continuity of the solution space,correspondingly,a neighborhood segmentation method for neighborhood search was introduced.In addition,the rule of the taboos was redesigned.Experimental results indicate that our continuous tabu search algorithm(CTSA) in continuous function optimization problems shows a strong mountain climbing ability and close to the actual optimal values.So CTSA is an effective global optimization algorithm.