Annals of Operations Research - Special issue on Tabu search
A tabu search heuristic for the vehicle routing problem
Management Science
Proceedings of the 32nd conference on Winter simulation
Simulation optimization: a survey of simulation optimization techniques and procedures
Proceedings of the 32nd conference on Winter simulation
Tabu Search
A Comparison of Evolution Strategies with Other Direct Search Methods in the Presence of Noise
Computational Optimization and Applications
Genetic Algorithms in Noisy Environments
Machine Learning
Dynamic Control of Genetic Algorithms in a Noisy Environment
Proceedings of the 5th International Conference on Genetic Algorithms
The Dynamic and Stochastic Knapsack Problem
Operations Research
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Exploiting Tabu Search Memory in Constrained Problems
INFORMS Journal on Computing
Simulation optimization: simulation-based optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation optimization: simulation optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation-based optimization: practical introduction to simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
The gambler's ruin problem, genetic algorithms, and the sizing of populations
Evolutionary Computation
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Computers and Industrial Engineering
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This paper proposes alternative strategies to perform simulation within a simulation optimization algorithm based on tabu search. These strategies are tested empirically on a stochastic knapsack problem. Results have shown that the way simulation is implemented and the number of simulation replications have a prAB@ofound effect on the performance of tabu search.