Oppositional Concepts in Computational Intelligence - Tizhoosh, Hamid R.; Ventresca, M.; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008)
I: Motivations and Theory -- Opposition-Based Computing -- Antithetic and Negatively Associated Random Variables and Function Maximization -- Opposition and Circularity -- II: Search and Reasoning -- Collaborative vs. Conflicting Learning, Evolution and Argumentation -- Proof-Number Search and Its Variants -- III: Optimization -- Improving the Exploration Ability of Ant-Based Algorithms -- Differential Evolution Via Exploiting Opposite Populations -- Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution -- IV: Learning -- Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation -- The Concept of Opposition and Its Use in Q-Learning and Q(?) Techniques -- Two Frameworks for Improving Gradient-Based Learning Algorithms -- V: Real World Applications -- Opposite Actions in Reinforced Image Segmentation -- Opposition Mining in Reservoir Management.
Keywords: Applied mathematics; Engineering mathematics; Artificial intelligence; Mathematical and Computational Engineering; Artificial Intelligence