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 new heuristic optimization method and it has many merits.
蚁群算法是一种新型启发式优化算法，具有较多优点。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
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 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。
In this paper, we review ant colony algorithm and particle swarm optimization.
本文讨论了群集智能的两种算法，蚁群智能与微粒群智能。
A novel ant colony optimization algorithm with random perturbation behavior (RPACO) based on combination of general ant colony optimization and stochastic mechanism is developed in this paper.
从随机优化技术出发，针对基本蚁群算法，提出了一种随机摄动蚁群优化算法。
Two-dimensional stock cutting problem can be settled by solving two one-dimensional knapsack problems, this paper presents a new algorithm based on the ant colony optimization idea.
基于一维问题的蚂蚁算法，本文将二维矩形件排样问题转化为一维背包问题，然后进行求解。
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.
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。
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.
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。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
最后将粒子群算法和禁忌搜索算法思想引入到蚁群算法中，用于求解拉闸限电序位优化问题。
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。
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.
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。
Based on the ant colony optimization idea, a new algorithm for the risk programming problem in virtual enterprise is presented.
针对动态联盟企业风险规划问题，给出一种新的基于蚂蚁优化思想的求解算法。
An ant colony optimization based algorithm for permutation flow shop scheduling was proposed.
提出了一种求解置换流水车间调度的蚁群优化算法。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
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；
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
Based on the ant colony optimization idea, this paper presents a new algorithm for the classical knapsack problem.
针对经典的背包问题，给出一种新的基于蚂蚁优化思想的求解算法。
Ant colony optimization for mixed-model assembly line balancing problem (MMALBP) is studied.
研究了混合型装配线平衡问题的智能蚁群优化算法。
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.
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。
Now studies of Ant Colony optimization for continuous optimization problems are not sufficient, but primary studies have shown its good performance.
目前国内外对于蚁群算法在连续优化问题的应用研究成果还很少，但初步研究已显示出蚁群算法较好的性能。
The optimum designs of long-span orthotropic steel bridge deck and its pavement system were studied based on super excellent ant colony optimization strategy.
基于精英蚂蚁寻优策略，将大跨径桥梁的钢桥面板和铺装层作为桥面铺装系整体进行结构优化设计。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
采用进化优化算法——蚁群优化算法来求解机组最优启停问题。
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。
This thesis puts forward a new method and implementation for the Path PlanningProblem based on ACOA (Ant Colony Optimization Algorithm).
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。
Based on the ant colony optimization idea, a new algorithm for continuous optimization problem is presented.
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。
Aiming at the total weighted tardiness scheduling problem of unrelated parallel machine, a kind of hybrid ant colony optimization algorithm was proposed.
针对一类变速机总加权拖期调度问题，提出一种混合蚁群优化算法。
Aiming at the total weighted tardiness scheduling problem of unrelated parallel machine, a kind of hybrid ant colony optimization algorithm was proposed.
针对一类变速机总加权拖期调度问题，提出一种混合蚁群优化算法。
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