蚁群优化方法的自组织、动态和多路径的特性使其特别适合应用于无线传感器网络的路由。
Ant Colony Optimization methods of self-organization, dynamic and multi-path make it particularly suited to the characteristics of wireless sensor networks for routing.
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 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.
介绍了一种使用蚁群算法求解矩形件优化排料问题的新方法。
The paper presents a new optimal layout for rectangular part method using ant colony system 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。
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.
蚁群算法是基于群体的一种仿生算法，为求解复杂的组合优化方法问题提供了一种新思路。
The ant algorithm is a class of population based bionic algorithm, which provides new methods for complex combinatorial optimization problem.
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。
This thesis puts forward a new method and implementation for the Path PlanningProblem based on ACOA (Ant Colony Optimization Algorithm).
本文在现代物流技术基础，特别是车辆调度和蚁群算法的基础理论指导下，针对现代物流运输车辆的调度优化问题，进行了理论、方法与模型的研究工作。
Based on the modern logistic technology, especially the vehicle scheduling and the ant algorithm theories, this paper make a research in theories, methods and models aiming at the present problems.
文章将蚁群算法应用于计划调度的工期-费用优化问题之中，得到一种精确、全面，求解效率高的优化方法。
The paper applies ant colony algorithm to network planning time-cost optimization problems, thereby getting a accurate, comprehensive and efficient solution optimization method.
文章基于蚁群思想，提出了一种融合网格法的蚁群算法来求解柔性制造系统工艺路线优化配置的方法。
In this paper, a kind of ant colony algorithm which is combined with the gridding method is introduced to achieve optimal assignment of the process routes of the FMS.
该方法克服了基本蚁群算法的不足，能够满意地实现PID控制参数优化。
This method not only overcomes the shortage of basic ant colony algorithm, but also perfectly realizes the optimization of PID control parameter.
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。
Ant colony algorithms are robust and adaptable as novel optimization methods.
提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
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。
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。
To solve the multimodal optimization problem the 1d discrete optimization methods, the genetic and Ant Colony algorithms are applied.
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