Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution Export

@inproceedings{KrHoCo04, abstract = {Previous work presented an approach based on coevolutionary particle swarm optimization (Co-PSO) to solve constrained optimization problems formulated as min-max problems. Preliminary results demonstrated that Co-PSO constitutes a promising approach to solve constrained optimization problems. However the difficulty to obtain fine tuning of the solution using a uniform distribution became evident. In this paper, a modified PSO using a Gaussian distribution is applied in the context of Co-PSO. The modified Co-PSO is tested on some benchmark optimization problems and the results show a superior performance compared to the standard Co-PSO.}, author = {Krohling, R. A. and Hoffmann, F. and Coelho, Ld}, booktitle = {Evolutionary Computation, 2004. CEC2004. Congress on}, citeulike-article-id = {2601378}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/CEC.2004.1330965}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1330965}, day = {03}, doi = {10.1109/CEC.2004.1330965}, journal = {Evolutionary Computation, 2004. CEC2004. Congress on}, keywords = {minimax, pso, worst-case}, month = {September}, pages = {959--964 Vol.1}, posted-at = {2008-03-27 10:06:31}, priority = {2}, title = {Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution}, url = {http://dx.doi.org/10.1109/CEC.2004.1330965}, volume = {1}, year = {2004} }

TY - CONF ID - KrHoCo04 L3 - citeulike-article-id:2601378 N2 - Previous work presented an approach based on coevolutionary particle swarm optimization (Co-PSO) to solve constrained optimization problems formulated as min-max problems. Preliminary results demonstrated that Co-PSO constitutes a promising approach to solve constrained optimization problems. However the difficulty to obtain fine tuning of the solution using a uniform distribution became evident. In this paper, a modified PSO using a Gaussian distribution is applied in the context of Co-PSO. The modified Co-PSO is tested on some benchmark optimization problems and the results show a superior performance compared to the standard Co-PSO. JF - Evolutionary Computation, 2004. CEC2004. Congress on EP - 964 Vol.1 TI - Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution VL - 1 T2 - Evolutionary Computation, 2004. CEC2004. Congress on SP - 959 KW - minimax KW - pso KW - worst-case AU - Krohling, RA AU - Hoffmann, F AU - Coelho, Ld PY - 2004/09/03/ UR - http://dx.doi.org/10.1109/CEC.2004.1330965 ER -