Multi-GPU Tabu Search Metaheuristic for the Flexible Job Shop Scheduling Problem

被引:2
|
作者
Bozejko, Wojciech [1 ]
Uchronski, Mariusz [2 ]
Wodecki, Mieczyslaw [3 ]
机构
[1] Wroclaw Univ Technol, Inst Comp Engn Control & Robot, Janiszewskiego 11-17, PL-50372 Wroclaw, Poland
[2] Wroclaw Ctr Networking & Supercomp, PL-50370 Wroclaw, Poland
[3] Univ Wroclaw, Inst Comp Sci, PL-50383 Wroclaw, Poland
关键词
GENETIC ALGORITHM; TARDINESS;
D O I
10.1007/978-3-319-01436-4_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new framework of the distributed tabu search metaheuristic designed to be executed using a multi-GPU cluster, i.e. cluster of nodes equipped with GPU computing units. The methodology is designed to solve difficult discrete optimization problems, such as a job shop scheduling problem, which we introduce to solve as a case study for the framework designed.
引用
收藏
页码:43 / 60
页数:18
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