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.
微粒群优化算法是求解连续函数极值的一个有效方法。
Particle Swarm Optimization (PSO) algorithm is a powerful method to find the extremum of a continuous numerical function.
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.
论文尝试使用微粒群优化算法与GIS相结合解决超市最优选址问题。
This paper demonstrates that using particle swarm optimization approach to solve optimal location of supermarkets based on GIS.
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.
该算法能克服基本微粒群优化算法精度较低，易发散的缺点，有较高的搜索效率。
This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.
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.
提出了基于一种改进微粒群优化算法的移动机器人在已知环境信息下的路径规划方法。
A path planning approach based on a modified particle swarm optimization (PSO) is presented for mobile robot in known static environments.
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.
针对协同微粒群优化存在的停滞现象，提出了一种新的基于粒子空间扩展的协同微粒群优化算法。
Aiming at the stagnation exists in the cooperative particle swarm optimization, presents a new kind of the cooperative particle swarm optimization algorithm based on particles spatial extension.
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.
提出一种具有逻辑时序特征的微粒群优化算法，并将其应用于半导体封装生产线的工序参数优化中。
A kind of particle swarm optimization method with the characteristic of logical time-sequenced is proposed and applied to procedure parameters optimization of semiconductor assembly product line.
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.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
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.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
A PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
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.
提出一种两群替代微粒群优化算法(TSSPSO)，并对算法参数进行分析和对算法方程进行修正。
In this paper, two sub-swarms substituting particle swarm optimization algorithm (TSSPSO) is proposed. The algorithm parameters are analyzed and the iteration equations are amended.
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).
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).
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