%0 Journal Article
%T Applicationofmixedintelligencealgorithminmulti-constrainedoptimizationproblem<br>混合智能算法在多约束优化问题中的应用
%A ZHU Yu-ping
%A YE Da-zhen
%A WANG Suo-ping
%A WU Xin-yu
%A <br>朱玉平
%A 叶大振
%A 王锁萍
%A 吴新余
%J 计算机应用研究
%D 2008
%I 
%X This paper proposed a mixed intelligence algorithm to solve multi-constrained optimal path and QoS routing that was based on the combination of ant colony algorithm,genetic algorithm and particle swarm optimization.First,it adopted ant colony algorithm to get a new population by routing.Second,it made use of the genetic algorithm to optimize the path,the PSO algorithm to optimize the pheromone in ant colony algorithm.Finally,it developed enough advantage of the three algorithms.The simulation results show that the algorithm is feasible and effectice.
%K multi-constrained optimal path
%K QoS routing
%K ant colony algorithm
%K genetic algorithm
%K particle swarm optimization<br>多约束最优路径
%K QoS路由
%K 蚁群算法
%K 遗传算法
%K 粒子种群优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=84367A7F783572FED5F905FF1322FAFF&yid=67289AFF6305E306&vid=C5154311167311FE&iid=E158A972A605785F&sid=C7A7E1E32985D389&eid=9E5DBB98644FDC52&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15