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Genetiska algoritmer – hur påverkar dess parametrar evolutionen?
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2011 (Swedish)Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Genetic algorithms is a method to solve optimization problems by imitating natural evolution. In the work that leads up to this report we use genetic algorithms to solve a complex problem. The problem is to develop a vehicle that can get through a predefined obstacle course. The main part of this report is devoted to examining which values that are suitable to use on the parameters that exist in the genetic algorithm, so that it will be as efficient as possible.

Abstract [sv]

Genetiska algoritmer är en metod för att lösa optimeringsproblem genom att efterlikna naturens evolution. I arbetet som leder fram till den här rapporten använder vi genetiska algoritmer för att lösa ett komplext problem. Problemet är att ta fram ett fordon som klarar av att ta sig igenom en på förhand definierad hinderbana. Huvuddelen av rapporten ägnas åt att undersöka vilka värden som är lämpliga att använda på de parametrar som finns i den genetiska algoritmen, så att den ska bli så effektiv som möjligt.

Place, publisher, year, edition, pages
2011.
Series
Kandidatexjobb CSC, K11006
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-130859OAI: oai:DiVA.org:kth-130859DiVA: diva2:654304
Educational program
Master of Science in Engineering - Computer Science and Technology
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-10-07 Created: 2013-10-07

Open Access in DiVA

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Other links

http://www.csc.kth.se/utbildning/kandidatexjobb/datateknik/2011/rapport/sandstrom_anders_OCH_ostberg_markus_K11006.pdf
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Computer Science

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