米勒参观了一家德州天然气公司，该公司成功地应用了基于蚁群行为的公式来“优化其工厂和卡车的路线”。
Miller visited a Texas gas company that has successfully applied formulas based on ant colony behaviour to "optimise its factories and route its trucks".
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.
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 evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial 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.
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.
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问题提供了一种新思路。
Ant algorithm is a kind of population based bionic algorithm, which provides new methods for complex combinatory optimization.
对于连续优化问题，提出了基于蚁群算法思想的求解算法，并与网格法作了比较。
Based on the ant colony optimization idea, a new algorithm for continuous optimization problem is presented.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
提出了一种求解置换流水车间调度的蚁群优化算法。
An ant colony optimization based algorithm for permutation flow shop scheduling was proposed.
将该图书仓库布局模型分别基于装箱问题结构和广义指派问题结构，设计了两种不同的蚁群优化算法。
Two different Ant Colony Optimization heuristics based separately on Bin-packing Problem structure and Generalized Assignment Problem structure were designed for Books Warehouse Layout Problem.
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 colony optimization algorithms are investigated in this paper for robot planning in configuration space.
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。
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.
然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展；
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。
Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.
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.
采用蚁群算法对食品机械四杆机构进行最优化设计，分析建立杆尺寸间的几何联系，并结合具体实例确定四杆机构各个参数。
The ant colony algorithm was used to carry on optimization design of four-bar mechanism for food machinery, analyzing and building the geometric relation between the linkage.
并重点讨论了蚁群算法对配送路线的优化。
And especially discusses the optimization of distribution route with ant colony algorithm.
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。
So it is proved the ant colony algorithms are feasible in the optimized design of gas transmission pipelines.
建立最小威胁曲面，将三维航路规划问题分解为两个二维的优化问题，最后使用蚁群算法进行全局航路规划。
Thus, three-dimensional flight path optimization planning can be changed into two-dimensional flight path planning on the surface of minimum risk.
本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上，提出一种基于连续不确定区域的蚁群算法。
A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization, which is adapted to solve complex combination optimization problems.
研究了混合型装配线平衡问题的智能蚁群优化算法。
Ant colony optimization for mixed-model assembly line balancing problem (MMALBP) is studied.
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。
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.
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).
为求解该模型，并综合考虑优化质量和通信开销，采用了基于粗粒度模型的并行蚁群算法。
Considering the communication cost and optimization qualities, an ant colony algorithm based on the coarse-grain model is designed to solve the problem of this model.
利用蚁群算法对物流配送优化问题进行求解，是本文的重点研究问题之一。
It is the point research problems of this paper that applying ant colony algorithm to solve the optimization of logistics distribution routine problem.
利用蚁群算法对物流配送优化问题进行求解，是本文的重点研究问题之一。
It is the point research problems of this paper that applying ant colony algorithm to solve the optimization of logistics distribution routine problem.
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