Title :
A java library for genetic algorithms addressing memory and time issues
Author :
Troiano, Luigi ; De Pasquale, Davide
Author_Institution :
Dept. of Eng., Univ. of Sannio, Benevento, Italy
Abstract :
In this paper we introduce a Java library for developing and testing genetic algorithms. The software architecture is aimed at addressing common issues regarding system memory and garbage collection in Java programming. In order to validate our solution, a comparison with other frameworks is provided.
Keywords :
Java; genetic algorithms; mathematics computing; software architecture; software libraries; storage management; Java library; Java programming; garbage collection; genetic algorithms; memory issues; software architecture; time issues; Biological cells; Genetic algorithms; Genetic engineering; Java; Laboratories; Law; Legal factors; Software architecture; Software libraries; Testing;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393443
