Runtime analysis of evolutionary algorithms with complex fitness evaluation mechanisms

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Runtime analysis of evolutionary algorithms with complex fitness evaluation mechanisms

Evolutionary algorithms (EAs) are bio-inspired general purpose optimisation methods which are applicable to a wide range of problems. The performance of an EA can vary considerably according to the problem it tackles. Runtime analyses of EAs rigorously prove bounds on the expected computational reso...

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Bibliographic Details
Main Author:	Corus, Dogan
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2018
Subjects:	evolutionary algorithms computer science
Online Access:	https://eprints.nottingham.ac.uk/48421/

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