Linear Multi-Objective Particle Swarm Optimization

[1]  Jürgen Teich,et al.  Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[2]  Tapabrata Ray,et al.  An Evolutionary Algorithm for Constrained Optimization , 2000, GECCO.

[3]  S. J. Gurman,et al.  Bond ordering in silicate glasses: a critique and a re-solution , 1990 .

[4]  Angel Eduardo Muñoz Zavala,et al.  Constrained optimization via particle evolutionary swarm optimization algorithm (PESO) , 2005, GECCO '05.

[5]  Patrick Brézillon,et al.  Lecture Notes in Artificial Intelligence , 1999 .

[6]  Eckart Zitzler,et al.  Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .

[7]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[8]  Jonathan E. Fieldsend,et al.  A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts , 2005, EMO.

[9]  Zbigniew Michalewicz,et al.  Handling Constraints in Genetic Algorithms , 1991, ICGA.

[10]  Günter Rudolph,et al.  Convergence properties of some multi-objective evolutionary algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[11]  Ángel Fernando Kuri Morales,et al.  Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysis , 2002, MICAI.

[12]  Marco Laumanns,et al.  Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization , 2002, GECCO.

[13]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[14]  J. Teich,et al.  The role of /spl epsi/-dominance in multi objective particle swarm optimization methods , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[15]  Evan J. Hughes,et al.  Evolutionary Multi-objective Ranking with Uncertainty and Noise , 2001, EMO.

[16]  Sanaz Mostaghim Multi-objective evolutionary algorithms: data structures, convergence, and diversity , 2004 .

[17]  John N. Tsitsiklis,et al.  Introduction to linear optimization , 1997, Athena scientific optimization and computation series.

[18]  Xin Yao,et al.  Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..

[19]  B. Mysen,et al.  Melt speciation in the system Na2O–SiO2 , 2004 .

[20]  Andries Petrus Engelbrecht,et al.  A new particle swarm optimiser for linearly constrained optimisation , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[21]  Carlos A. Coello Coello,et al.  A constraint-handling mechanism for particle swarm optimization , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[22]  Zbigniew Michalewicz,et al.  A Survey of Constraint Handling Techniques in Evolutionary Computation Methods , 1995 .

[23]  Jürgen Teich,et al.  Pareto-Front Exploration with Uncertain Objectives , 2001, EMO.