Economic optimization and evolutionary programming when using remote sensing data

被引：0
|
作者：
Shamin, Roman [1 ]
Alberto, Gabriel Enrike [1 ]
Uryngaliyeva, Ayzhana [1 ]
Semenov, Aleksandr [1 ]
机构：
[1] Peoples Friendship Univ Russia, Moscow 117198, Russia
来源：
7TH SEMINAR ON INDUSTRIAL CONTROL SYSTEMS: ANALYSIS, MODELING AND COMPUTING (ICS 2018) | 2018年 / 18卷
关键词：
D O I：
10.1051/itmconf/20181804005
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 article considers the issues of optimizing the use of remote sensing data. Built a mathematical model to describe the economic effect of the use of remote sensing data. It is shown that this model is incorrect optimisation task. Given a numerical method of solving this problem. Also discusses how to optimize organizational structure by using genetic algorithm based on remote sensing. The methods considered allow the use of remote sensing data in an optimal way. The proposed mathematical model allows various generalizations for optimization of decision making in the presence of remote sensing data. The approach associated with evolutionary programming is an effective solution when optimizing economic structures in the presence of remote sensing data.
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页数：3
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