Biologically-Inspired Optimisation Methods : Parallel Algorithms, Systems and Applications /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Lewis, Andrew. (Editor ), Mostaghim, Sanaz. (Editor ), Randall, Marcus. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:	1st ed. 2009.
Colección:	Studies in Computational Intelligence, 210
Materias:	Applied mathematics. Engineering mathematics. Artificial intelligence. Mathematical and Computational Engineering. Artificial Intelligence.

Tabla de Contenidos:

Evolution’s Niche in Multi-Criterion Problem Solving
Applications of Parallel Platforms and Models in Evolutionary Multi-Objective Optimization
Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments
Dynamic Problems and Nature Inspired Meta-heuristics
Relaxation Labelling Using Distributed Neural Networks
Extremal Optimisation for Assignment Type Problems
Niching for Ant Colony Optimisation
Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas
The Radio Network Design Optimization Problem
Strategies for Decentralised Balancing Power
An Analysis of Dynamic Mutation Operators for Conformational Sampling
Evolving Computer Chinese Chess Using Guided Learning.

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