文章基本信息

标题：Comparison of Genetic Algorithm and Quantum Genetic Algorithm
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作者：Zakaria Laboudi ; Salim Chikhi
期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2012
卷号：9
期号：3
出版社：Zarqa Private University
摘要：Evolving solutions rather than computing them certainly represents a promising programming approach. Evolutionary computation has already been known in computer science since more than 4 decades. More recently, another alternative of evolutionary algorithms was invented: quantum genetic algorithms (QGA). In this paper, we outline the approach of QGA by giving a comparison with conventional genetic algorithm (CGA). Our results have shown that QGA can be a very promising tool for exploring search spaces.
关键词：Genetic algorithm; knapsack problem; quantum genetic algorithm; and quantum computing