Findings in Machine Learning - Computational Intelligence Reported from X.W. Zheng and Co-Researchers

摘要

2011 APR 4 - (VerticalNews.com) -- According to recent research published in thernInternational Journal of Computational Intelligence Systems, "Multi-Objective Particle SwarmrnOptimizers (MOPSOs) are easily trapped in local optima, cost more function evaluations andrnsuffer from the curse of dimensionality. A scalable cooperative coevolution and epsilondominancernbased MOPSO (CEPSO) is proposed to address these issues."