论文同时对蚁群优化中的启发式信息给出了合理定义，并设计了相应的状态转移规则和信息素更新规则；
This dissertation defines the heuristic information in ACO properly and designs the corresponding ACO's state transition rule and pheromone updating rule.
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.
为了构建一个合理的电网网架，本文对现有的网架优化方法进行了研究，重点分析了逐步倒推法和蚁群算法。
To build a rational grid network, this paper analyzed several grid framework optimization methods especially the ant colony algorithm and regradation step-by-step algorithm.
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