Abstract is missing.
- IntroductionHamid R. Tizhoosh, Mario Ventresca. 1-8 [doi]
- Opposition-Based ComputingHamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan. 11-28 [doi]
- Antithetic and Negatively Associated Random Variables and Function MaximizationDon L. McLeish. 29-44 [doi]
- Opposition and CircularityFlorencio G. Asenjo. 45-57 [doi]
- Collaborative vs. Conflicting Learning, Evolution and ArgumentationLuís Moniz Pereira, Alexandre Miguel Pinto. 61-89 [doi]
- Proof-Number Search and Its VariantsH. Jaap van den Herik, Mark H. M. Winands. 91-118 [doi]
- Improving the Exploration Ability of Ant-Based AlgorithmsAlice R. Malisia. 121-142 [doi]
- Differential Evolution Via Exploiting Opposite PopulationsShahryar Rahnamayan, Hamid R. Tizhoosh. 143-160 [doi]
- Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive CoevolutionTse Guan Tan, Jason Teo. 161-206 [doi]
- Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative InvestigationLei Shi. 209-232 [doi]
- The Concept of Opposition and Its Use in Q-Learning and Q(lambda) TechniquesMaryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel. 233-253 [doi]
- Two Frameworks for Improving Gradient-Based Learning AlgorithmsMario Ventresca, Hamid R. Tizhoosh. 255-284 [doi]
- Opposite Actions in Reinforced Image SegmentationFarhang Sahba, Hamid R. Tizhoosh. 287-297 [doi]
- Opposition Mining in Reservoir ManagementMasoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam. 299-321 [doi]