A Multi-objective Genetic Algorithm Based on Elite Seed Strategy
Guanqi Guo · Journal of Hunan Institute of Science and Technology · 2011
When one or more optimal solutions are known in multi-objective optimization in engineering practice,it is often required to obtain some highly dense Pareto optimal solutions in some specific regions.This paper proposes a multi-objective genetic algorithm based on the elite seed strategy.The strategy incorporates known elitist solutions into optimization process and utilizes the nearest neighbor method to recognize the Pareto dominance between solutions,consequently guiding the optimization direction.Experimental results show the algorithm is more effective than NSGA-II in local areas,and it is also capable of finding out the dispersively distributed Pareto optimal subsets.