Oppositional Concepts in Computational Intelligence

Oppositional Concepts in Computational Intelligence

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tizhoosh, Hamid R. (Editor ), Ventresca, M. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 155
Materias:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Mathematical and Computational Engineering.
Artificial Intelligence.
Acceso en línea:https://doi.org/10.1007/978-3-540-70829-2
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020 |a 9783540708292 
024 7 |a 10.1007/978-3-540-70829-2  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Oppositional Concepts in Computational Intelligence  |c edited by Hamid R. Tizhoosh, M. Ventresca. 
250 |a 1st ed. 2008. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2008. 
300 |a XII, 328 p. 72 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Studies in Computational Intelligence,  |v 155 
505 0 |a 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. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Artificial intelligence. 
650 1 4 |a Mathematical and Computational Engineering. 
650 2 4 |a Artificial Intelligence. 
700 1 |a Tizhoosh, Hamid R.  |e editor. 
700 1 |a Ventresca, M.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-3-540-70829-2 

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