计算机工程Issue(10)：204-209,6.DOI:10.3969/j.issn.1000-3428.2014.10.038
人工鱼群算法在基因调控网络中的应用研究
Research on Application of Artificial Fish Swarm Algorithm in Gene Regulatory Network
摘要
Abstract
Based on the analysis of the advantages and disadvantages of the current appliance of swarm intelligence algorithm into Gene Regulatory Network ( GRN ) , this paper studies the gene regulatory network constructed under Boolean network model using Artificial Fish Swarm Algorithm ( AFSA ) . Especially, the comprehensive network of predefined attractors and limit cycle is formulated by applying Boolean network model into flower growth morphogenesis. After comparing AFSA with Simulated Annealing( SA) and analyzing the ability of the networks to preserve the attractors when the updating schemes is changed from parallel to sequential,the paper finds the network has robustness within the limit cycle length equal to two and specific network topologies. Experimental results show that the intelligence algorithm outperforms simulated annealing in network discovery and robustness. Therefore,it is feasible to learn Boolean network using AFSA.关键词
人工鱼群算法/模拟退火算法/布尔网络/吸引子/极限环/花发育形态模型Key words
Artificial Fish Swarm Algorithm ( AFSA )/Simulated Annealing ( SA ) algorithm/Boolean network/attractor/limit circle/flower growth morphogenesis model分类
信息技术与安全科学引用本文复制引用
田旺兰,李加升..人工鱼群算法在基因调控网络中的应用研究[J].计算机工程,2014,(10):204-209,6.基金项目
湖南省科技计划基金资助项目(2012FJ3025)。 （2012FJ3025）
