LCGA: Local Cultivation Genetic Algorithm for multi-objective optimization problems
Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki · 2002
In this paper, a new genetic algorithm for multi-objective optimization problems is introduced. That is called Local Cultivation GA (LCGA). LCGA has a neighborhood crossover mechanism in addition to the mechanism of GAs that had proposed in the past researches. As compared with SPEA2, NSGA-II, and MOGA, LCGA is the robust algorithm which should find the Pareto optimum solution. Since LCGA is easy to implement to parallel computer as a master-slave model, the reduction of calculation cost can be expected.