DESIGN AND ANALYSIS OF OPTIMIZATION ALGORITHMS FOR MULTI-AGENT RAILWAY CONTROL SYSTEM

被引：3
|
作者：
Kuznetsov, N. A. [1 ]
Minashina, I. K. [2 ]
Pashchenko, F. F. [3 ]
Ryabykh, N. G. [2 ]
Zakharova, E. M. [2 ]
机构：
[1] IRE, Mokhovaya 11-7, Moscow 125009, Russia
[2] MIPT, Dolgoprudnyi 141700, Russia
[3] Russian Acad Sci, Inst Control Sci, Moscow 117997, Russia
来源：
5TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS / THE 4TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE / AFFILIATED WORKSHOPS | 2014年 / 37卷
基金：
俄罗斯科学基金会;
关键词：
multi-agent systems; identification; railway control system; global extreme; optimization; job-shop scheduling;
D O I：
10.1016/j.procs.2014.08.032
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper is concerned with the schedule optimization problem in the railway control systems. The schedule optimization problem has been formulated as a problem of finding the global extreme of the fitness function. Authors propose 2 different methods for the problem solving using mathematical optimization technologies, namely stochastic optimization algorithm, and the genetic algorithm respectively. (C) 2014 The Authors. Published by Elsevier B.V.
引用
收藏
页码：211 / +
页数：2
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