Title :
Solving multi objective optimization problems using particle swarm optimization
Author :
Zhang, L.B. ; Zhou, C.G. ; Liu, X.H. ; Ma, Z.Q. ; Ma, M. ; Liang, Y.C.
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
An algorithm for solving multiobjective optimization problems is presented based on PSO through the improvement of the selection manner for global and individual extremum. The search for the Pareto optimal set of multiobjective optimization problems is performed. Numerical simulations show the effectiveness of the proposed algorithm.
Keywords :
Pareto optimisation; evolutionary computation; genetic algorithms; search problems; Pareto optimal set; genetic algorithm; multiobjective optimization problem; numerical simulation; particle swarm optimization; search problem; Birds; Computer science; Design optimization; Evolutionary computation; High performance computing; Numerical simulation; Pareto optimization; Particle production; Particle swarm optimization; Production systems;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299388
