An Adaptive Differential Evolution Algorithm Applied to Highway Network Capacity Optimization

被引：5
|
作者：
Koh, Andrew [1 ]
机构：
[1] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
来源：
APPLICATIONS OF SOFT COMPUTING: UPDATING THE STATE OF THE ART | 2009年 / 52卷
关键词：
Continuous Network Design Problem; Differential Evolution; Bi-Level Programming;
D O I：
10.1007/978-3-540-88079-0_21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Differential Evolution (DE) is a simple heuristic for global search. However, it is sensitive to certain control parameters and may not perform well if these parameters are not adjusted to suit the problems being optimized. Recent research has reported on methods to endogenously tune these control parameters during the search process. In this work, we develop and apply two DE variants as Solution algorithms for continuous network design problems and illustrate with examples from the highway transportation literature.
引用
收藏
页码：211 / 220
页数：10
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