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。
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。
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。
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。
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。
A novel ant colony optimization algorithm with random perturbation behavior (RPACO) based on combination of general ant colony optimization and stochastic mechanism is developed in this paper.
从随机优化技术出发，针对基本蚁群算法，提出了一种随机摄动蚁群优化算法。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.
蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant colony algorithm is a new heuristic optimization method and it has many merits.
蚁群算法是一种新型启发式优化算法，具有较多优点。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
To get the optimum solution for the planning, I construct a model of resource optimization for spliced network planning, and design Adaptive Ant Colony Algorithm to solve it.
为得到最优计划方案，针对搭接网络计划，建立了资源均衡优化的数学模型，并设计了自适应蚁群系统的求解算法与实现过程。
To build a rational grid network, this paper analyzed several grid framework optimization methods especially the ant colony algorithm and regradation step-by-step algorithm.
为了构建一个合理的电网网架，本文对现有的网架优化方法进行了研究，重点分析了逐步倒推法和蚁群算法。
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 pheromone-based discrete particle swarm optimization algorithm was proposed borrowing the idea of pheromone refresh mechanism of ant colony algorithm.
借鉴蚁群算法的信息素机制，提出了一种基于信息素机制的离散粒子群算法。
In light of traditional PID controller parameters optimization with manual cut-and-try method, a novel kind of PID parameters optimization strategy based on ACA (Ant Colony Algorithm) was proposed.
针对传统的PID控制器参数多采用试验加试凑的方式由人工进行优化，提出了一种新型的基于蚁群算法的PID参数优化策略。
Ant Colony algorithm is a novel heuristic algorithm to solve complicated optimization problems.
蚁群算法是一种新型求解复杂优化问题的启发式算法。
In this paper, we review ant colony algorithm and particle swarm optimization.
本文讨论了群集智能的两种算法，蚁群智能与微粒群智能。
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。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展；
Two-dimensional stock cutting problem can be settled by solving two one-dimensional knapsack problems, this paper presents a new algorithm based on the ant colony optimization idea.
基于一维问题的蚂蚁算法，本文将二维矩形件排样问题转化为一维背包问题，然后进行求解。
The ant colony algorithm was used to carry on optimization design of four-bar mechanism for food machinery, analyzing and building the geometric relation between the linkage.
采用蚁群算法对食品机械四杆机构进行最优化设计，分析建立杆尺寸间的几何联系，并结合具体实例确定四杆机构各个参数。
And especially discusses the optimization of distribution route with ant colony algorithm.
并重点讨论了蚁群算法对配送路线的优化。
And especially discusses the optimization of distribution route with ant colony algorithm.
并重点讨论了蚁群算法对配送路线的优化。
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