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Oppositional Concepts in Computational Intelligence 2008

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Hamid R. Tizhoosh, Mario Ventresca:
Oppositional Concepts in Computational Intelligence. Studies in Computational Intelligence 155, Springer 2008, ISBN 978-3-540-70826-1
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Hamid R. Tizhoosh, Mario Ventresca:
Introduction. 1-8

Motivations and Theory

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

Search and Reasoning

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

Optimization

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

Learning

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

Real World Applications

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

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