An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to over-come these disadvantages.
使用拥塞控制策略改善算法的全局寻优能力，同时引入多种群的思想，提出了带拥塞控制多种群二元蚁群算法。
Resource search is a popular application area of P2P networks and the ant colony algorithm (ACA) is a heuristic approach inspired by the foraging behavior of real ants.
资源搜索是P2P网络应用领域中最为广泛的问题，蚁群算法是受到自然界中真实的蚂蚁集体行为的启发而提出的一种算法。
After comparison with the conventional ant colony algorithm found that the new algorithm has been significantly improved in the solution quality.
实验结果表明新算法在求解质量上比传统蚁群算法有了明显提高。
Combining PSO and ACS, the proposed algorithm can effectively avoid the local optima of PSO algorithm and the blindness search of ant colony algorithm.
该算法通过在粒子群算法中引入蚂蚁算法，可有效克服粒子群算法后期的局部搜索能力差和蚁群算法前期盲目搜索的缺陷。
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 novel simulated evolutionary algorithm.
蚁群算法是一种新型的模拟仿生算法。
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。
It adopts 2-interchange mutation operator in ant colony algorithm to increase its ability of local search and to improve the quality of the solution.
该算法通过在蚁群算法中引入遗传算法的2 -交换变异算子，增强了算法的局部搜索能力，提高了解的质量。
A new coin identification method based on ant colony algorithm with clustering characteristics is proposed in this paper.
利用蚁群算法的聚类能力，提出一种硬币识别新方法。
In this paper, ant colony algorithm (ACO) was applied to solve the prioritizing problem of flight landing.
本文将蚁群算法用于着陆航班的排序问题。
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。
After the basic theory of ACA is introduced, a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper.
在介绍蚁群算法基本原理以及探讨该算法的缺陷基础上，针对多处理器任务调度问题，提出了一种基于改进型蚁群算法的调度策略。
To solve the typical "fuzzy rule explosion" problem in designing the high dimensional fuzzy controller, ant colony algorithm is used to filter a designed complete fuzzy-rule base.
针对设计高维模糊控制器过程中会遇到的“规则爆炸”问题，利用蚁群算法进行控制规则的过滤简化。
An adaptive parallel ant colony algorithm is presented by considering the critical factors influencing the parallelization of the ant colony algorithm.
本文根据影响并行蚁群算法性能的关键因素，提出了一种自适应的并行蚁群算法。
Many domestic and foreign scholars have researched on the ant colony algorithm and verified the effectiveness of ant colony algorithm.
国内外已有大量学者对蚁群算法进行研究并验证了蚁群算法的有效性。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
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。
Power system restoration; Over-voltage prediction; Node importance; Ant Colony algorithm; Skeleton - network reconfiguration; Load recovery.
电力系统恢复；过电压预测；节点重要性；蚁群算法；网架重构；负荷恢复。
An equal division point ant colony algorithm (EDPACA) was proposed to solve the swarm-robot mission planning problem.
提出了一种求解群集机器人协作任务规划问题的均分点蚁群算法(EDPACA)。
This paper presents a new fast ant heuristic for the QAP, the approximate-backbone guided fast ant colony algorithm (ABFANT).
针对QAP问题，提出了一种新的蚁群算法——近似骨架导向的快速蚁群算法（ABFANT）。
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。
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 algorithm was introduced and applied to solve the problem of distribution routing planning for supply chain depot.
介绍并运用蚁群算法来求解供应链节点间配送路径安排问题。
Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.
蚁群算法是基于群体合作的一类仿生算法，适合于解困难的离散组合优化问题。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
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。
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。
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