Modelling of Scheduling Problems in Intelligent Transport Systems in Unexpected Cases

被引：0

作者：

Alps, I. ^{[1
]}

Gorobetz, M. ^{[1
]}

Levehenkov, A. ^{[1
]}

机构：

[1] Riga Tech Univ, LV-1658 Riga, Latvia

来源：

INTELLIGENT TECHNOLOGIES IN LOGISTICS AND MECHATRONICS SYSTEMS (ITELMS '2012) | 2012年

关键词：

intelligent transport systems; scheduling; genetic algorithms; immune algorithms;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This research aims to develop algorithms for intelligent scheduling of safer movement of road and railway transport using scheduling theory and evolutionary algorithms for optimization. In this paper, the multi-criteria target function is defined for assessment of newly schedules, which is used for schedule optimization by immune and genetic algorithms Algorithms are compared for better performance in searching of optimal solution.

引用

页码：10 / 15

页数：6