An evolutionary optimum searching tool
Tóth Z, Kókai G (2001)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Original article
Publication year: 2001
Publisher: Springer
City/Town: Berlin Heidelberg
Book Volume: 2070
Pages Range: 19-24
Conference Proceedings Title: Engineering of Intelligent Systems 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001
Event location: Budapest
ISBN: 978-3-540-42219-8
Abstract
This paper is an introduction to the Generic Evolutionary Algorithms Programming Library (GEA) system. The purpose of the GEA system is to provide researchers with an easy-to-use and extendable programming library which can solve optimization problems by means of evolutionary algorithms. GEA is implemented in the ANSI C++ programming language and is designed in a way that enables users to integrate new methods and individual representation forms easily.
How to cite
APA:
Tóth, Z., & Kókai, G. (2001). An evolutionary optimum searching tool. In Monostori, Laszlo, Vancza, Jozsef, Ali, Moonis (Eds.), Engineering of Intelligent Systems 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001 (pp. 19-24). Budapest, HU: Berlin Heidelberg: Springer.
MLA:
Tóth, Zoltán, and Gabriella Kókai. "An evolutionary optimum searching tool." Proceedings of the 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Budapest Ed. Monostori, Laszlo, Vancza, Jozsef, Ali, Moonis, Berlin Heidelberg: Springer, 2001. 19-24.
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