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Genetiska algoritmer för framtagning avstyrsystem för hissar
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2013 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Genetiska algoritmer, som baseras på den biologiska evolutionen, har historiskt sett används till att lösa komplexa problem med väldigt stora lösningsrymder.

I den här rapporten beskriver vi hur vi implementerar en genetisk algoritm och en hissmodell, och undersöker möjligheterna att med hjälp av den genetiska algoritmen konstruera ett välfungerande hisstyrningssystem.

Trots att vi inte lyckas få fram ett tillfredsställande hisstyrningssystem, finner vi potential att lösa dylika problem med genetiska algoritmer, och redogör för hur man kan göra det.

Abstract [en]

Genetic algorithms, based on the concept of biological evolution, have historically been used to solve complex problems with huge solution spaces.

In this paper, we describe how we implement a genetic algorithm and an elevator simulation model, and examine the possibilities to use the genetic algorithm to crate a well functioning elevator control system.

Despite our failure to come up with a satisfying control system, we find a lot of potential to solve this kind of problems with genetic algorithms and describe a possible process for doing this.

Place, publisher, year, edition, pages
Kandidatexjobb CSC, K13014
National Category
Computer Science
URN: urn:nbn:se:kth:diva-134901OAI: diva2:668666
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2013-12-13 Created: 2013-12-02 Last updated: 2013-12-13Bibliographically approved

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Genetiska algoritmer för(3680 kB)61 downloads
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