Juraj Hromkovič (auth.), Kathleen Steinhöfel (eds.)3540430253, 9783540430254
SAGA 2001, the ?rst Symposium on Stochastic Algorithms, Foundations and Applications, took place on December 13–14, 2001 in Berlin, Germany. The present volume comprises contributed papers and four invited talks that were included in the ?nal program of the symposium. Stochastic algorithms constitute a general approach to ?nding approximate solutions to a wide variety of problems. Although there is no formal proof that stochastic algorithms perform better than deterministic ones, there is evidence by empirical observations that stochastic algorithms produce for a broad range of applications near-optimal solutions in a reasonable run-time. The symposium aims to provide a forum for presentation of original research in the design and analysis, experimental evaluation, and real-world application of stochastic algorithms. It focuses, in particular, on new algorithmic ideas invo- ing stochastic decisions and exploiting probabilistic properties of the underlying problem domain. The program of the symposium re?ects the e?ort to promote cooperation among practitioners and theoreticians and among algorithmic and complexity researchers of the ?eld. In this context, we would like to express our special gratitude to DaimlerChrysler AG for supporting SAGA 2001. The contributed papers included in the proceedings present results in the following areas: Network and distributed algorithms; local search methods for combinatorial optimization with application to constraint satisfaction problems, manufacturing systems, motor control unit calibration, and packing ?exible – jects; and computational learning theory. |
Table of contents :
Randomized Communication Protocols….Pages 1-32
Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms….Pages 33-48
An Experimental Assessment of a Stochastic, Anytime, Decentralized, Soft Colourer for Sparse Graphs….Pages 49-64
Randomized Branching Programs….Pages 65-72
Yet Another Local Search Method for Constraint Solving….Pages 73-90
An Evolutionary Algorithm for the Sequence Coordination in Furniture Production….Pages 91-106
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration….Pages 107-116
Some Notes on Random Satisfiability….Pages 117-130
Prospects for Simulated Annealing Algorithms in Automatic Differentiation….Pages 131-144
Optimization and Simulation: Sequential Packing of Flexible Objects Using Evolutionary Algorithms….Pages 145-154
Stochastic Finite Learning….Pages 155-172
Sequential Sampling Algorithms: Unified Analysis and Lower Bounds….Pages 173-188
Approximate Location of Relevant Variables under the Crossover Distribution….Pages 189-202 |
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