Absrtact: an improved ant algorithm has been presented in order to solve the problem of task scheduling in the grid environment.

摘要：文中提出了一种以蚂蚁算法为基础的改进算法，用以解决网格环境下的任务调度问题。

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An improved Ant Colony Algorithm (ACA) is presented that can be used to search shortest grinding path for the grinding machine and the grinding path optimization mathematical model is given.

提出一种适用于钢坯修磨轨迹优化问题的改进蚁群算法，给出一种修磨轨迹优化问题的实用数学模型。

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After the basic theory of ACA is introduced, a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper.

在介绍蚁群算法基本原理以及探讨该算法的缺陷基础上，针对多处理器任务调度问题，提出了一种基于改进型蚁群算法的调度策略。

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