Using genetic algorithms for batch selection decisions

被引：2
|
作者：
Deng, PS [1 ]
机构：
[1] Calif State Univ Stanislaus, Sch Business Adm, Dept Comp Informat Syst, Turlock, CA 95382 USA
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 1999年 / 17卷 / 03期
关键词：
genetic algorithms; batch selection; combinatorially complex decisions;
D O I：
10.1016/S0957-4174(99)00033-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Combinatorially complex decisions are usually characterized by their huge size of solution space. For such type of decisions, optimal solutions are usually unattainable, and we can only approximate the optimal solutions. Due to their determinism, most of the traditional optimization techniques are limited by their power to discover satisfactory solutions for combinatorially complex decisions. In this paper, we designed a genetic algorithm-based interactive system for a combinatorially complex decision-the batch selection problem. A performance comparison with a rule-based system was also conducted. We also investigated the influence of different parameter values on the system performance. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：183 / 194
页数：12
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