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.
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.
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.
蚁群算法在组合优化问题的成功应用，使得人们开始将焦点又集中在其在连续优化问题上的应用。
Its successful application in combination optimization problems makes our focus on its application in continuous optimization problems.
将重构问题抽象为子集类优化选择问题。建立适合解决此类问题的蚁群算法模型。
Reconfiguration is considered as a typical subset problem, a mathematic model is built to solve it.
算法中的信息素踪迹更新过程作为蚁群间的间接通信机制，将引导整个蚁群收敛到问题的优化解。
The pheromone trail updating procedure ACTS as an indirect communication mechanism within the ant colony, leading all the ants to converge to good Tours.
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。
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。
The particle swarm optimization algorithm and the Ant Colony Optimization are employed to develop a hybrid stochastic searching algorithm.
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