REDUCING COMPUTATION TIME OF STOCHASTIC SIMULATION-BASED OPTIMIZATION USING PARALLEL COMPUTING ON A SINGLE MUTLI-CORE SYSTEM

被引：0
|
作者：
Mawlana, Mohammed [1 ]
Hammad, Amin [2 ]
机构：
[1] Mississippi State Univ, 823 Collegeview St, Starkville, MS 39762 USA
[2] Concordia Univ, 1455 Maisonneuve Blvd W, Montreal, PQ H3G 1M8, Canada
来源：
2016 WINTER SIMULATION CONFERENCE (WSC) | 2016年
关键词：
GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; CONSTRUCTION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a framework for implementing a simulation-based optimization model in a parallel computing environment on a single multi-core processor. The behavior of the model with multicore architecture is studied. In addition, the impact of multithreading on the performance of simulation-based optimization is examined. The framework is implemented using the master/slave paradigm. A case study is used to demonstrate the benefits of the proposed framework.
引用
收藏
页码：3246 / 3256
页数：11
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