Oppositional Concepts in Computational Intelligence
This volume is motivated in part by the observation that opposites permeate everything around us, in some form or another. Its study has attracted the attention of countless minds for at least 2500 years. However, due to the lack of an accepted mathematical formalism for opposition it has not been e...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
155 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-70829-2 |
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Table of Contents:
- 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.