Study on multiobjective particle swarm optimization algorithm based on preference

During practical making decision,the maker need not know all the solutions to the problem,but is interested in certain solutions.To meet this requirement,multi-objective particle swarm optimization algorithm based on importance relationship among the objectives and reference points in objective space is proposed,which employs grid strategy to keep solutions diversity.More than one solutions located in certain area can be got when importance relationship among the objectives is specified.And more than one solutions located in more than one certain areas can be also obtained when preference based upon reference points is indicated,which is beneficial to the decision maker making efficient and reliable decisions.Simulation results of a series of classical benchmark problems show the correctness and effectiveness of the algorithm.