Stochastic Algorithms: Foundations and Applications

International Symposium, SAGA 2001 Berlin, Germany, December 13–14, 2001 Proceedings

Editors:

ISBN: 978-3-540-43025-4 (Print) 978-3-540-45322-2 (Online)

Table of contents (13 chapters)

  1. No Access

    Book Chapter

    Pages 1-32

    Randomized Communication Protocols

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    Book Chapter

    Pages 33-48

    Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms

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    Book Chapter

    Pages 49-64

    An Experimental Assessment of a Stochastic, Anytime, Decentralized, Soft Colourer for Sparse Graphs

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    Book Chapter

    Pages 65-72

    Randomized Branching Programs

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    Book Chapter

    Pages 73-90

    Yet Another Local Search Method for Constraint Solving

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    Book Chapter

    Pages 91-106

    An Evolutionary Algorithm for the Sequence Coordination in Furniture Production

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    Book Chapter

    Pages 107-116

    Evolutionary Search for Smooth Maps in Motor Control Unit Calibration

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    Book Chapter

    Pages 117-130

    Some Notes on Random Satisfiability

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    Book Chapter

    Pages 131-144

    Prospects for Simulated Annealing Algorithms in Automatic Differentiation

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    Book Chapter

    Pages 145-154

    Optimization and Simulation: Sequential Packing of Flexible Objects Using Evolutionary Algorithms

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    Book Chapter

    Pages 155-172

    Stochastic Finite Learning

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    Book Chapter

    Pages 173-188

    Sequential Sampling Algorithms: Unified Analysis and Lower Bounds

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    Book Chapter

    Pages 189-202

    Approximate Location of Relevant Variables under the Crossover Distribution