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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Economic Optimization and Evolutionary Programming When Using Remote Sensing Data
verfasst von : Roman Shamin, Aleksandr Semenov
Erschienen in: VIII International Scientific Siberian Transport Forum
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Abstract
The article considers the issues of optimizing the use of remote sensing data. The following method can be used for the methods of the evaluation of remote sensing approaches. Remote sensing approaches are used in many applications for example for solutions of the complicated problems of transport management and construction of new transport arteries. A mathematical model to describe the economic effect of the use of remote sensing data is built. Here is also 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.