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.
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.
发现基本蚁群优化算法存在慢收敛且易停滞等问题。
The ant colony optimization algorithm has found slow convergence and easy to stagnation.
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.
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。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
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.
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).
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。
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.
目前，群智能理论研究领域有两种主要的算法：微粒群优化算法和蚁群优化算法。
The basic and typical algorithm of swarm intelligence is particle swarm optimization and Ant colony oprimation.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
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。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
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.
同时，还介绍了蚁群优化算法在交通模型中的应用，提出基于改进蚁群算法的增量交通分配模型。
At the same time, this paper also introduces ant colony algorithm application in transportation model, bring forward increment traffic assignment model based on improved ant colony algorithm.
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.
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 order to improve the performance of ACO algorithm, an ACO algorithm with the dynamic parameter decision model was presented in this paper.
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。
As an important branch of computational intelligence and swarm intelligence, ACO have been successfully applied to solve many combinational optimization problems.
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.
本文在定向扩散算法的基础上设计了基于蚁群优化算法的无线传感器网络路由算法(ARAWSN)。
On the basis of directed diffusion algorithm, this paper presented an Ant Colony Optimization routing algorithm of wireless sensor network (ARAWSN).
针对基于网格的高性能计算平台的特点，作者将蚁群优化算法与网格调度技术相结合提出了一个改进算法。
Considering the characteristic of GHPCP, the author puts forward an improved algorithm by combining the ant optimization algorithm with grid scheduling.
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。
By analyzing the function and significance of parameters, the parameter setting of ACO algorithm can be described as a multifactor and multilevel optimization problem.
采用基于动态信息素更新策略的改进蚁群优化算法，在保证优化目标的基础上，迅速收敛并得到最优解，从而提高调度系统的可行性，增强系统稳定性。
Secondly, the algorithm based on the dynamic pheromone updating ensures the quick convergence and the optimal solution, thus improving the feasibility and the stability of the schedule system.
在原有标准蚁群算法的基础上采用了新的状态转移规则，讨论了各种不同的轨迹更新规则对仿真结果的影响，并通过统计数据验证了改进型蚁群算法优于标准的蚁群优化算法。
The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.
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.
蚁群算法是一种新型启发式优化算法，具有较多优点。
Ant colony algorithm is a new heuristic optimization method and it has many merits.
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，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.
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.
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