基于差分进化的计算机安全算法研究  

Computer Security Algorithm Based on Differential Evolution

作　　者：谢春明[1] 

机构地区：[1]乐山师范学院,四川乐山614004

出　　处：《煤炭技术》2013年第1期228-230,共3页Coal Technology

摘　　要：计算机差分进化算法作为一种有潜力的进化算法,是在遗传算法、微粒子群算法、蚁群算法之后才出现的智能算法,其借鉴自然界优胜劣汰的思想,运用差分操作的方法,让差分算法拥有自组织、自适应、自学习等特征,具有良好的有效性和发展前景。这里结合自身的体会和多年来学界对差分进化算法的研究,介绍该算法的基本原理、算法流程、算法参数,归纳了算法在相关领域的应用概况,研究结果证明计算机差分进化算法具有一定的先进性,在未来有广阔的发展前景。Computer differential evolution algorithm as a potential evolutionary algorithm is the only intel- ligent algorithm, after the genetic algorithm, the particles swarm optimization, ant colony algorithm to learn from nature the idea of survival of the fittest, the use of the method of differential operation, so that the differential algorithm has self- organizing, adaptive, self- learning and other features, has a good effectiveness and prospects for development. The combination of the author＇s own experience and many years scholars differential evolution algorithm, introduced the basic principles of the algorithm, the algo- rithm processes the algorithm parameters, summarized the overview of the algorithm in the relevant field, research results show that the computer differential evolution algorithm has certain advanced nature, have broad prospects for development in the future.

关 键 词：差分进化算法 控制参数 应用 前景 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] F224[自动化与计算机技术—计算机科学与技术]