Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

ISBN: 978-3-642-12537-9 (Print) 978-3-642-12538-6 (Online)

Table of contents (32 chapters)

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  1. Front Matter

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    Book Chapter

    Pages 1-12

    A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck

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    Pages 13-24

    Social Target Localization in a Population of Foragers

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    Pages 25-38

    Using Knowledge Discovery in Cooperative Strategies: Two Case Studies

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    Pages 39-52

    Hybrid Cooperation Models for the Tool Switching Problem

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    Pages 53-63

    Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies

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    Pages 65-74

    A New Metaheuristic Bat-Inspired Algorithm

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    Pages 75-87

    Evaluation of a Catalytic Search Algorithm

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    Pages 89-100

    Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics

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    Pages 101-111

    Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization

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    Pages 113-125

    CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price

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    Pages 127-139

    3D Cell Pattern Generation in Artificial Development

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    Pages 141-150

    Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice

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    Pages 151-162

    A Dynamical Game Model for Sustainable Development

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    Pages 163-176

    Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm

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    Pages 177-183

    HC12: Highly Scalable Optimisation Algorithm

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    Pages 185-197

    Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software

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    Pages 199-210

    Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study

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    Pages 211-222

    A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard

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    Pages 223-232

    Cellular Genetic Algorithm on Graphic Processing Units

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    Pages 233-243

    Evolutionary Approaches to Joint Nash – Pareto Equilibria

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