摘要
生物信息学研究需要使用先进的计算工具处理大量生物的模糊的和不确定的数据。群智能优化算法以低成本、快速和准确合理地解决复杂的搜索问题的优点,使其成为一族能用以较好地解决生物信息学中的问题的启发式算法。综述群智能优化算法及其在生物信息学问题中的应用。
Bioinformatics research requires the use of advanced computational tools to deal with a large number of biological vague and uncertain data. With the advantages of low cost, solving complex search problems fast, accurately and rea- sonably, swarm intelligence optimization algorithms become a group of heuristic algorithms which ean be used to get a better solution to the bioinformaties problems. An overview of swarm intelligence optimization algorithms and their applications in bioinformaties are provided in this paper.
出处
《三明学院学报》
2013年第4期13-18,共6页
Journal of Sanming University
基金
福建省自然科学基金(2008J0316)
关键词
群智能
优化算法
生物信息学
swarm intelligence
optimization algorithm
bioinformatics