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» A Guided Monte Carlo Approach to Optimization Problems
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WSC
2004
14 years 11 months ago
Simulation-Based Optimization Using Simulated Annealing With Confidence Interval
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Talal M. Alkhamis, Mohamed A. Ahmed
AAAI
1998
14 years 11 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara
EVOW
2004
Springer
15 years 3 months ago
Scatter Search and Memetic Approaches to the Error Correcting Code Problem
We consider the problem of designing error correcting codes (ECC), a hard combinatorial optimization problem of relevance in the field of telecommunications. This problem is tackl...
Carlos Cotta
ANTSW
2006
Springer
15 years 1 months ago
An Estimation of Distribution Particle Swarm Optimization Algorithm
Abstract. In this paper we present an estimation of distribution particle swarm optimization algorithm that borrows ideas from recent developments in ant colony optimization. In th...
Mudassar Iqbal, Marco Antonio Montes de Oca
CP
2009
Springer
15 years 4 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu