EVOLVE -- A bridge between probability, set oriented numerics, and evolutionary computation III

This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal. Front Matter....Pages 1-15 Front Matter....Pages 1-1 Effective Structure Learning in Bayesian Network Based EDAs....Pages 3-30 Optimization by Structure Learning during Algorithm Execution Using an Adaptive Extended Tree Cliqued – EDA (AETC – EDA)....Pages 31-52 Support Tool for a Bayesian Network Based Critical Infrastructure Risk Model....Pages 53-75 Challenges on Probabilistic Modeling for Evolving Networks....Pages 77-93 Front Matter....Pages 95-95 Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming....Pages 97-119 Optimizing a Conspicuous Point Detector for Camera Trajectory Estimation with Brain Programming....Pages 121-140 Optimizing an Artificial Dorsal Stream on Purpose for Visual Attention....Pages 141-166 Front Matter....Pages 167-167 Time Complexity and Zeros of the Hypervolume Indicator Gradient Field....Pages 169-193 A Multi-Directional Modified Physarum Algorithm for Optimal Multi-Objective Discrete Decision Making....Pages 195-212 A Combined Pareto Differential Evolution Approach for Multi-objective Optimization....Pages 213-231 PSA Based Multi Objective Evolutionary Algorithms....Pages 233-259 Back Matter....Pages 261-261