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Stochastic Algorithms: Foundations and Applications: Third International Symposium, SAGA 2005, Moscow, Russia, October 20-22, 2005 / Edition 1

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Overview

This book constitutes the refereed proceedings of the Third International Symposium on Shastic Algorithms: Foundations and Applications, SAGA 2005, held in Moscow, Russia in October 2005.

The 14 revised full papers presented together with 5 invited papers were carefully reviewed and selected for inclusion in the book. The contributed papers included in this volume cover both theoretical as well as applied aspects of shastic computations whith a special focus on new algorithmic ideas involving shastic decisions and the design and evaluation of shastic algorithms within realistic scenarios.

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Product Details

Table of Contents

Systems of Containers and Enumeration Problems.- Some Heuristic Analysis of Local Search Algorithms for SAT Problems.- Clustering in Shastic Asynchronous Algorithms for Distributed Simulations.- On Construction of the Set of Irreducible Partial Covers.- Recent Advances in Multiobjective Optimization.- Polynomial Time Checking for Generation of Finite Distributions of Rational Probabilities.- FPL Analysis for Adaptive Bandits.- On Improved Least Flexibility First Heuristics Superior for Packing and Sk Cutting Problems.- Evolutionary Testing Techniques.- Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization.- On Some Bounds on the Size of Branching Programs (A Survey).- Two Metaheuristics for Multiobjective Shastic Combinatorial Optimization.- Self-replication, Evolvability and Asynchronicity in Shastic Worlds.- New Computation Paradigm for Modular Exponentiation Using a Graph Model.- Dynamic Facility Location with Shastic Demands.- The Complexity of Classical and Quantum Branching Programs: A Communication Complexity Approach.- On the Properties of Asymptotic Probability for Random Boolean Expression Values in Binary Bases.- Solving a Dynamic Cell Formation Problem with Machine Cost and Alternative Process Plan by Memetic Algorithms.- Eco-Grammar Systems as Models for Parallel Evolutionary Algorithms.

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