Ant algorithms analogize the social behaviour of ant colonies.
蚁群算法是一类模拟生物群体突现聚集行为的非经典算法。
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。
Ant system algorithm is a kind of evolutionary algorithms, which is efficient in solving combinatorial optimization problem.
蚁群算法是一种进化算法，适合解决组合优化问题，指派问题是组合优化问题中的一个分支。
This paper discusses the model of supply networks and the application of ant routing algorithms in adaptive supply networks.
讨论了供应网络的模型和蚁群路由算法在适应性供应网络的应用。
Ant colony algorithms have widely applied to solve many combinatory problems now.
目前蚁群算法被广泛应用于许多组合优化问题。
Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.
蚁群算法是一种模拟进化算法，在挖掘特定用户群感兴趣的访问模式时，采用蚁群算法得到的模式会比较客观准确。
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。
Ant colony algorithms are robust and adaptable as novel optimization methods.
蚁群算法作为一种新型的优化方法，具有很强的适应性和鲁棒性。
Robotic spray painting; Path planning; Ant colony algorithms; Path integration;
喷涂机器人；路径规划；蚁群算法； 路径组合；
To solve the multimodal optimization problem the 1d discrete optimization methods, the genetic and Ant Colony algorithms are applied.
为了解决多重模态最优化问题，我们运用了一维离散优化方法、遗传算法和蚁群算法。
So it is proved the ant colony algorithms are feasible in the optimized design of gas transmission pipelines.
从而证明了蚁群算法应用于天然气输送管道的优化设计是可行的。
Concerning that the resource in mobile Ad Hoc network is limited and the existing ant routing algorithms are complex, a basic ant routing algorithm was proposed.
针对移动自组织网络资源受限的特点和目前已有的蚁群路由算法比较复杂的问题，提出一种基本蚁群路由算法。
An effective method based on the theory of evidence is put forth to improve the searching performance of basic ant colony algorithms.
针对基本蚁群算法中存在的早熟现象，提出了基于证据理论的搜索方法。
The combination of the ant clustering technology and the text clustering technology leads to the development of ant-based text clustering algorithms.
蚁群聚类算法与文本聚类技术的结合就形成了基于蚁群的文本聚类算法。
The basic ant colony clustering algorithm in the calculation of similarity, due to not take direction between adjacent objects, often caused by clustering algorithms do not even slow convergence.
基本蚁群聚类算法在计算相似度时，由于没有考虑相邻对象之间方向的影响，往往造成聚类速度缓慢甚至算法不收敛。
Analyze the feasibility of applying intelligent algorithms to the signal design and design orthogonal polyphase coded signals using the ant colony algorithm.
分析了将智能算法应用到信号设计中的可行性，并将蚁群算法运用到正交多相编码信号的设计中，对设计的多相码进行了分析研究。
The experiment results showed that improved algorithms 'operating speed and robustness is improved, adaptability of ant colony algorithms on mobile robot path planning is enhanced.
实验结果证明：对基本蚁群算法的改进，提高了运算速度和鲁棒性，增强了蚁群算法在移动机器人路径规划中的适应能力。
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。
Bases on ant colony algorithms, this paper studies and proposes a method of evaluating power market efficiency.
基于蚁群算法研究给出了一种电力市场效率评价的理论方法。
Theory and Applications of Ant Colony Algorithm and Hybridizing other Algorithms;
粒子群算法是一类基于群智能的随机优化算法。
Theory and Applications of Ant Colony Algorithm and Hybridizing other Algorithms;
粒子群算法是一类基于群智能的随机优化算法。
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