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Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

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Cover of 'Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)'

Table of Contents

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    Book Overview
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    Chapter 1 Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model
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    Chapter 2 Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm
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    Chapter 3 An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems
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    Chapter 4 Interactive Intonation Optimisation Using CMA-ES and DCT Parameterisation of the F0 Contour for Speech Synthesis
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    Chapter 5 Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles
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    Chapter 6 Model Order Reduction of Single Input Single Output Systems Using Artificial Bee Colony Optimization Algorithm
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    Chapter 7 Lamps: A Test Problem for Cooperative Coevolution
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    Chapter 8 A Game Theoretic Approach to Community Detection in Social Networks
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    Chapter 9 Simplified Social Impact Theory Based Optimizer in Feature Subset Selection
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    Chapter 10 Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
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    Chapter 11 Gravitational Swarm Approach for Graph Coloring
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    Chapter 12 Analysing the Adaptation Level of Parallel Hyperheuristics Applied to Mono-objective Optimisation Problems
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    Chapter 13 Estimation of Distribution Algorithm for the Quay Crane Scheduling Problem
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    Chapter 14 Nash Extremal Optimization and Large Cournot Games
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    Chapter 15 Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
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    Chapter 16 Cooperation and Self-organized Criticality for Studying Economic Crises
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    Chapter 17 Correlations Involved in a Bio-inspired Classification Technique
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    Chapter 18 Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
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    Chapter 19 Enhancing the Computational Mechanics of Cellular Automata
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    Chapter 20 Using Genetic Algorithms and Model Checking for P Systems Automatic Design
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    Chapter 21 Design of Evolvable Biologically Inspired Classifiers
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    Chapter 22 Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks
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    Chapter 23 Real-Valued Genetic Algorithms with Disagreements
Overall attention for this book and its chapters
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Title
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-24094-2
ISBNs
978-3-64-224093-5, 978-3-64-224094-2
Authors

David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, Camelia Chira, Rodica Lung

Editors

Pelta, David Alejandro, Krasnogor, Natalio, Dumitrescu, Dan, Chira, Camelia, Lung, Rodica

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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