Stochastic discrete optimization
SIAM Journal on Control and Optimization
Accelerating the convergence of random search methods for discrete stochastic optimization
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Stochastic Comparison Algorithm for Discrete Optimization with Estimation
SIAM Journal on Optimization
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
A combined procedure for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Two simulated annealing algorithms for noisy objective functions
WSC '05 Proceedings of the 37th conference on Winter simulation
Solving simulation optimization problems on grid computing systems
Parallel Computing - Optimization on grids - Optimization for grids
Simulation-based optimization for the quay crane scheduling problem
Proceedings of the 40th Conference on Winter Simulation
Balanced Explorative and Exploitative Search with Estimation for Simulation Optimization
INFORMS Journal on Computing
Optimal contraction theorem for exploration-exploitation tradeoff in search and optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Industrial strength COMPASS: A comprehensive algorithm and software for optimization via simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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We present a new random search method for solving simulation optimization problems. Our approach emphasizes the need for maintaining the right balance between exploration and exploitation during various stages of the search. Exploration represents global search for promising solutions within the entire feasible region, while exploitation involves local search of promising subregions. Preliminary numerical results are provided that show the performance of the method applied to solve deterministic and stochastic optimization problems.