搜索资源列表
AntColonyAlgorithmforSolvingQoSRoutingProblem
- 在状态转移规则的基础上,局部更新规则和全局更新的蚁群算法的规则,我们提出一个IM证明蚂蚁的最低成本的服务质量蚁群算法(QoS)的路径用于解决网络路由问题与延迟以及背包约束中进行模拟。约52.33%蚂蚁找到成功的QoS路由。并收敛到最佳。-based on the state transition rule,the local updating rule and the global updating rule of ant colony algorithm ,we propose an im p
应用禁忌搜索算法解决0-1背包问题
- 利用禁忌搜索算法求解0-1背包问题。禁忌搜索算法相比其他搜索算法更优,设置藐视规则来避免陷入局部最优解。(Solve 0-1 Knapsack Problem based on Tabu search. The tabu search algorithm is superior to other search algorithms and sets contempt rules to avoid falling into local optimal solutions.)