Αριστοτελειο Πανεπιστημιο Θεσσαλονικης Aristotle University of Thessaloniki Faculty of Engineering Department of Electrical and Computer Engineering Division of Electronics and Computers Automation and Robotics Lab

Abstract

The availability of faster and cheaper parallel computers makes it possible to apply genetic algorithms to large populations and very complex applications. This report presents a survey of current implementation techniques for genetic algorithms on 

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Cite this paper

@inproceedings{Adamidis2014, title={Αριστοτελειο Πανεπιστημιο Θεσσαλονικης Aristotle University of Thessaloniki Faculty of Engineering Department of Electrical and Computer Engineering Division of Electronics and Computers Automation and Robotics Lab}, author={Panagiotis Adamidis}, year={2014} }