Oppositional Concepts in Computational Intelligence 2008

• Hamid R. Tizhoosh, Mario Ventresca:
  Introduction. 1-8
  

Motivations and Theory

• Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan:
  Opposition-Based Computing. 11-28
  
• Don L. McLeish:
  Antithetic and Negatively Associated Random Variables and Function Maximization. 29-44
  
• Florencio G. Asenjo:
  Opposition and Circularity. 45-57
  

Search and Reasoning

• Luís Moniz Pereira, Alexandre Miguel Pinto:
  Collaborative vs. Conflicting Learning, Evolution and Argumentation. 61-89
  
• H. Jaap van den Herik, Mark H. M. Winands:
  Proof-Number Search and Its Variants. 91-118
  

Optimization

• Alice R. Malisia:
  Improving the Exploration Ability of Ant-Based Algorithms. 121-142
  
• Shahryar Rahnamayan, Hamid R. Tizhoosh:
  Differential Evolution Via Exploiting Opposite Populations. 143-160
  
• Tse Guan Tan, Jason Teo:
  Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution. 161-206
  

Learning

• Lei Shi:
  Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation. 209-232
  
• Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel:
  The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. 233-253
  
• Mario Ventresca, Hamid R. Tizhoosh:
  Two Frameworks for Improving Gradient-Based Learning Algorithms. 255-284
  

Real World Applications

• Farhang Sahba, Hamid R. Tizhoosh:
  Opposite Actions in Reinforced Image Segmentation. 287-297
  
• Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam:
  Opposition Mining in Reservoir Management. 299-321