An Evolutionary Optimum Searching Tool

Authors:
Zoltán Tóth;Gabriella Kókai
Affiliations:
-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 4
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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.