Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.5555/1161734.1161836 | Winter Simulation Conference |
Keywords | Field | DocType |
promising subregions,entire feasible region,balanced explorative,promising solution,new random search method,simulation optimization problem,right balance,global search,exploitative search,preliminary numerical result,stochastic optimization problem,local search,optimization problem,stochastic optimization,random search | Random search,Stochastic optimization,Mathematical optimization,Guided Local Search,Computer science,Combinatorial optimization,Local search (optimization),Tabu search,Iterated local search,Metaheuristic | Conference |
ISBN | Citations | PageRank |
0-7803-8786-4 | 8 | 0.81 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrei A. Prudius | 1 | 37 | 2.51 |
| Sigrún Andradóttir | 2 | 548 | 55.09 |