This paper presents a new improved ACO.
为此，该文提出了一种新的改进蚁群算法。
Therefore, a quickly convergent version of the ACO algorithm is presented.
为此，提出了一种高速收敛算法。
A new ACO algorithm for unconstrained nonlinear integer optimization problem is present.
提出了一种新的蚁群算法来求解无约束的整数规划问题。
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。
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。
Next, you could have modified the dealer add action to grant create permissions for the dealer ACO to the user's ARO.
接下来，修改dealeradd操作，将经销商aco的create权限授予用户的ARO。
The theory part of ACO focuses on establishing the computation model of ACO, analyzing the convergence of ACO, etc.
理论方面主要研究算法的模型，分析其收敛性和收敛速度以及控制参数对算法性能的影响等。
So it is necessary to improve the current ACO algorithms, which would have better performance for solving large TSP.
因此，有必要对算法进行改进，使算法在中大规模的TSP问题上有较好的性能。
Owing to its positive feedback and effective parallelization and strong lustiness, ACO has been applied in many fields.
它具有正反馈、并行计算、较强的鲁棒性等诸多特点，在很多领域有着广泛的应用。
Then the principle, the model, the characteristics and the management about the basic algorithm of ACO are also presented.
介绍了蚁群算法基本模型的原理、特点和实现方法，并介绍了目前针对基本蚁群算法不足所提出的改进措施。
ACO adopts parallel computation mechanism, has strong robustness and is easy to combine with other methods in optimization.
蚁群算法采用分布式并行计算机制，易与其他方法结合，具有较强的鲁棒性等特点。
Acetoin was shown to function as an inducer for the expression of aco genes, whereas glucose exhibited a repression effect.
被认定为诱导物的乙醯甲基甲醇可刺激启动区的表现，而葡萄糖则表现抑制现象。
Compared with the theory aspect of ACO, the application aspect of ACO extends to rather wide fields and makes great success.
相对于理论部分，对蚁群算法的应用部分的研究则开辟了相当广阔的领域，也取得了很大的成功。
The dynamic combination of GA and ACO in the strategy is realized by the difference of population similarity in different iterations.
该策略通过不同迭代次数中种群相似度的差值实现两种算法的动态融合。
But compare to other bionics evolution algorithms ACO has disadvantages such as long-time searching and local best solution and so on.
但是与其它仿生学进化算法相比，蚁群算法存在搜索时间长、易陷入局部最优等缺点。
In order to improve the performance of ACO algorithm, an ACO algorithm with the dynamic parameter decision model was presented in this paper.
为使蚁群优化算法在应用中发挥最佳的寻优性能，提出带有动态参数决策模型的改进蚁群优化算法。
In this study, using chewing cane as experimental materials, cloned ACO gene by homology cloning techniques and made some other researches on it.
本研究以果蔗为实验材料，利用同源克隆技术克隆了ACO基因，并对该基因做了相关研究。
He set up cameras in the test room, and aco-worker pretended to quiz Angel about the game, called Knight Man: A Questfor Love, as she started playing.
他在测试房间里架设了相机，其同事假装去挖苦女友，这款游戏的名字叫做《骑士男人：爱的追求》。
ACO algorithm is basically a multi agent system where low level interactions between single agents result in a complex behavior of the whole ant colony.
ACO算法本质上是一个多代理系统，在这个系统中单个代理之间的交互导致了整个蚁群的复杂行为。
You have to earn your Zollars and they are used as a way to recognize employees for times when aco-worker or manager feels they've gone above and beyond.
你要挣到“Z元”，“Z元”被用来奖励那些被同事和经理认为努力进步和自我超越的员工。
This dissertation defines the heuristic information in ACO properly and designs the corresponding ACO's state transition rule and pheromone updating rule.
论文同时对蚁群优化中的启发式信息给出了合理定义，并设计了相应的状态转移规则和信息素更新规则；
Experimental results show that the novel algorithm can get a better solution, and convergence rate is enhanced with a comparison to the I-ACO-B algorithm.
实验结果表明，与I-ACO-B算法相比，该算法不仅能获得更好的解，且收敛速度也有一定的提高。
The applications of ACO to static and dynamic COPs, such as traveling salesman problem, quadratic assignment problem, network routing problem are reviewed.
结合旅行商问题、二次指派问题以及网络路由问题等典型组合优化问题，概述了ACO在静态组合最优化和动态组合优化问题中的应用。
Relative to the ACO algorithm, GPSO algorithm is better than the ACO algorithm whether in the search speed, search precision, or in the algorithm running time.
相对于蚁群算法来说，不论是在搜索速度、搜索精度，还是在算法的运行时间上，GPSO算法都要优于蚁群算法。
As an important branch of computational intelligence and swarm intelligence, ACO have been successfully applied to solve many combinational optimization problems.
作为计算智能和群智能的重要分支之一，蚁群优化算法已经成功地应用于许多组合优化问题的求解。
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。
By analyzing the function and significance of parameters, the parameter setting of ACO algorithm can be described as a multifactor and multilevel optimization problem.
通过对蚁群优化算法各操作参数作用与意义的分析，将蚁群优化算法的参数设定描述为一个多因素多水平优化设计问题。
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。
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。
应用推荐