A Genetic Algorithm Approach for Minimizing Total Tardiness in Parallel Machine Scheduling Problems

被引：0
|
作者：
Demirel, Tufan [1 ]
Ozkir, Vildan [1 ]
Demirel, Nihan Cetin [1 ]
Tasdelen, Belgin [1 ]
机构：
[1] Yildiz Tech Univ, Dept Ind Engn, TR-34349 Istanbul, Turkey
来源：
WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL II | 2011年
关键词：
Genetic algorithms; Scheduling; Parallel Machines; Total Tardiness; INCOMPATIBLE JOB FAMILIES; WEIGHTED TARDINESS; BATCH MACHINES; HEURISTICS; FLOWSHOP; SOLVE;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This study investigates parallel machine scheduling problem in order to minimize total tardiness and we developed a genetic algorithm solution procedure for such problems. Also, using problem specific knowledge, an efficient solution improvement scheme and an appropriate crossover operator are developed and integrated into the genetic algorithm.
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页码：1190 / 1193
页数：4
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