In this paper, Multiple Ant Colony Optimization is applied to solve this problem.
该文应用多种群蚁群算法来解决这个问题。
Two improvements on Ant Colony Optimization(ACO) algorithm is presented in this paper.
蚁群算法在处理大规模优化问题时效率很低。
The ant colony optimization algorithm has found slow convergence and easy to stagnation.
发现基本蚁群优化算法存在慢收敛且易停滞等问题。
Ant Colony Optimization (ACO) algorithm is a new swarm intelligence heuristic algorithm.
蚁群算法是一种新兴的群智能算法。
Ant colony optimization for mixed-model assembly line balancing problem (MMALBP) is studied.
研究了混合型装配线平衡问题的智能蚁群优化算法。
An ant colony optimization based algorithm for permutation flow shop scheduling was proposed.
提出了一种求解置换流水车间调度的蚁群优化算法。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
采用进化优化算法——蚁群优化算法来求解机组最优启停问题。
A compound multicast routing algorithm based on ant colony optimization algorithm is presented.
提出了卫星移动通信网中基于蚁群算法的复合多播路由算法。
Ant colony optimization algorithms are investigated in this paper for robot planning in configuration space.
本文研究了蚁群优化算法在机器人结构空间规划的问题。
Based on the ant colony optimization idea, a new algorithm for continuous optimization problem is presented.
对于连续优化问题，提出了基于蚁群算法思想的求解算法，并与网格法作了比较。
Based on the ant colony optimization idea, this paper presents a new algorithm for the classical knapsack problem.
针对经典的背包问题，给出一种新的基于蚂蚁优化思想的求解算法。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
Based on ant colony optimization algorithm, the relevant mathematical models and corresponding programs were established.
通过某车型门槛梁截面的算例验证了该方法的有效性与实用性。
The ant colony optimization algorithm is a novel simulated evolution algorithm featuring a robust global searching ability.
蚁群算法是一种模拟进化算法，具有很强的全局搜索能力。
Based on the ant colony optimization idea, a new algorithm for the risk programming problem in virtual enterprise is presented.
针对动态联盟企业风险规划问题，给出一种新的基于蚂蚁优化思想的求解算法。
The AI aficionados will find there possibilities to play with algorithms of Artificial Ant Colony Optimization and their parameters.
AI迷们会发现有可能与人工蚁群算法及其参数的算法玩。
This thesis puts forward a new method and implementation for the Path PlanningProblem based on ACOA (Ant Colony Optimization Algorithm).
本文提出了一种基于蚁群优化算法求解路径规划问题的新方法及其实现。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
On the basis of directed diffusion algorithm, this paper presented an Ant Colony Optimization routing algorithm of wireless sensor network (ARAWSN).
本文在定向扩散算法的基础上设计了基于蚁群优化算法的无线传感器网络路由算法(ARAWSN)。
Now studies of Ant Colony optimization for continuous optimization problems are not sufficient, but primary studies have shown its good performance.
目前国内外对于蚁群算法在连续优化问题的应用研究成果还很少，但初步研究已显示出蚁群算法较好的性能。
Based on the ant colony optimization, a new algorithm was proposed for the risk programming of virtual enterprise under electronic commerce environment.
针对电子商务环境下虚拟企业风险规划问题，给出了一种基于蚂蚁优化思想的求解算法。
Finally, the author combined the impedance function which is built up based on GM (1, 1) model with the ant colony optimization, and got the flow chart.
论文最后尝试将在GM(1,1)模型基础上建立的路阻函数与蚁群算法寻优进行结合，并写出流程图。
Aiming at the total weighted tardiness scheduling problem of unrelated parallel machine, a kind of hybrid ant colony optimization algorithm was proposed.
针对一类变速机总加权拖期调度问题，提出一种混合蚁群优化算法。
The optimum designs of long-span orthotropic steel bridge deck and its pavement system were studied based on super excellent ant colony optimization strategy.
基于精英蚂蚁寻优策略，将大跨径桥梁的钢桥面板和铺装层作为桥面铺装系整体进行结构优化设计。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
Ant Colony Optimization methods of self-organization, dynamic and multi-path make it particularly suited to the characteristics of wireless sensor networks for routing.
蚁群优化方法的自组织、动态和多路径的特性使其特别适合应用于无线传感器网络的路由。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization, which is adapted to solve complex combination optimization problems.
本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上，提出一种基于连续不确定区域的蚁群算法。
A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization, which is adapted to solve complex combination optimization problems.
本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上，提出一种基于连续不确定区域的蚁群算法。
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