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Pipeline Trace Quasi-optimum Determination

Authors :
Jorge Eduardo Núñez Mc Leod
Selva S. Rivera
Source :
Handbook of Optimization ISBN: 9783642305030, Handbook of Optimization
Publication Year :
2013
Publisher :
Springer Berlin Heidelberg, 2013.

Abstract

This chapter will focus on the development of a system with Artificial Intelligence based on Evolutionary Computation that allow generate a quasi-optimum trace of a pipeline integrating Digital Elevation Models and Geographical Information Systems. The algorithm is conceived with optimization purposes based on the relevant characteristics of the trace without prior monetary quantification, although the last was taken into consideration.

Details

ISBN :
978-3-642-30503-0
ISBNs :
9783642305030
Database :
OpenAIRE
Journal :
Handbook of Optimization ISBN: 9783642305030, Handbook of Optimization
Accession number :
edsair.doi...........83bcc00b575f4461c55ebc760a3890d8
Full Text :
https://doi.org/10.1007/978-3-642-30504-7_27