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。
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。
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。
Absrtact: Ant colony algorithm (ACA) is a meta - heuristic algorithm. In general, the setting of the parameters of the ACA is based on experiments.
摘要：蚁群算法作为一种启发式算法，其参数组合一般是通过大量实验取得的。
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。
An improved Ant Colony Algorithm (ACA) is presented that can be used to search shortest grinding path for the grinding machine and the grinding path optimization mathematical model is given.
提出一种适用于钢坯修磨轨迹优化问题的改进蚁群算法，给出一种修磨轨迹优化问题的实用数学模型。
We made improvement to the search mechanism of the traditional Ant Colony Algorithm(ACA), put forward a Random Ant Colony Algorithm(RACA), and applied it in air combat decision.
用其他随机优化算法（模拟退火算法、遗传算法、进化规划等）与免疫算法进行了比较研究，给出了他们的异同点、免疫算法的优点等。
There are many methods to solve this problem. This paper researched on Ant Colony Algorithm (ACA) and Immune Algorithm (IA) of reactive power optimization.
解决此问题的方法很多，本文围绕着蚁群算法和免疫算法进行了研究。
There are many methods to solve this problem. This paper researched on Ant Colony Algorithm (ACA) and Immune Algorithm (IA) of reactive power optimization.
解决此问题的方法很多，本文围绕着蚁群算法和免疫算法进行了研究。
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