Crossing over genetic algorithms: The Sugal generalised GA

被引：21

作者：

Hunter, A ^{[1
]}

机构：

[1] Univ Sunderland, Dept Comp & Informat Sci, Sunderland, Tyne & Wear, England

来源：

JOURNAL OF HEURISTICS | 1998年 / 4卷 / 02期

关键词：

genetic algorithms; simulated annealing; software package;

D O I：

10.1023/A:1009629730631

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sugal is a major new public-domain software package designed to support experimentation with, and implementation of, Genetic Algorithms. Sugal includes a generalised Genetic Algorithm, which supports the major popular versions of the GA as special cases. Sugal also has integrated support for various datatypes, including real numbers, and features to make hybridisation simple. This paper discusses the Sugal GA, showing how recombining the features of the popular algorithms results in the creation of a number of useful hybrid algorithms.

引用

页码：179 / 192

页数：14

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