摘要：This paper presents a hybrid metho d to solvehard multiobjective problems. The proposeda pproach adopts an epsilon-constraint methodwhich uses a Particle Swarm Optimizer to getp oints near of the true Pareto front. In thisa pproach, only few points will be generated andthen, new intermediate points will be calculatedusing an interpolation method, to increase thea mong of points in the output Pareto front. Theproposed approach is validated using two di.cultmultiob jective test problems and the results arecompared with those obtained by a multiob jec-tive evolutionary algorithm representative of thestate of the art: NSGA-II
关键词：Particle Swarm Optimization;Multi-objective Optimization; Epsilon-constraint;Metho d
