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Improving Evolutionary Algorithms using Mating Matrices

Os, B.J.J. van (2011) Improving Evolutionary Algorithms using Mating Matrices. Bachelor's Thesis, Artificial Intelligence.

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Evolutionary Algorithms provide important instruments for finding optimal solutions for complex problems. In this paper an extension, the Mating Matrix, is introduced which aims to use the fitness of previous children as an indicator of the fitness of future children. This extension is compared to a standard genetic algorithm on 2 difficult optimization problems. The high initialization cost makes it not universally applicable, further research is needed to determine if there are specific cases where it is worthwhile.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:45
Last Modified: 15 Feb 2018 07:45

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