The new algorithm is composed of global searching, local searching and pheromone updating rule.
新算法的全局搜索，局部搜索和信息素更新规则组成。
Improvement on route construction rule and pheromone updating rule was adopted on the basis of former algorithm.
对算法中相应的转移规则和轨迹更新规则进行了重新设定，改进了算法转移策略和信息素更新策略。
This dissertation defines the heuristic information in ACO properly and designs the corresponding ACO's state transition rule and pheromone updating rule.
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；
Relative location information among nodes in road network is introduced in pheromone updating for higher searching speed, and chaos perturbation is used to improve sel.
将路网节点间的相对位置信息引入信息素更新，以加快搜索速度；使用混沌扰动改进选择策略，以避免出现早熟停滞现象。
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.
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。
Based on the pheromone updating strategy, local search algorithm, the probability of randomly selected three areas to improve, improve the algorithm's global search ability and convergence of optimal.
通过对信息素更新策略、局部搜索算法、随机选择概率三个方面的改进，提高算法的全局最优搜索能力和收敛性。
So an adaptive method of updating pheromone and a mutation strategy of clearing up invalid assignment were introduced to increase convergent speed.
为此，提出一种自适应的信息素更新方法和消除无效分配的变异策略，提高了收敛速度。
The stagnation step out mechanism and the pheromone trail limit mechanism in pheromone trail updating procedure are developed to help ants stepping out of stagnation effectively.
信息素踪迹更新过程中的停滞状态脱离机制以及信息素踪迹限制机制能帮助人工蚁跳出局部最优解。
Furthermore, according to the features of the pheromone strewing when solving the problem by ant colony algorithm, the strewing method and updating strategy of pheromone were reconstructed.
此外，根据蚁群算法处理本问题时信息素散播的特点，重构了信息素的更新策略和散播方式。
The pheromone trail updating procedure ACTS as an indirect communication mechanism within the ant colony, leading all the ants to converge to good Tours.
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-updating mechanism is improved by threshold of the fitness function in presented method;
该方法设定适应度函数阈值改进了蚁群算法的信息素更新机制；
The pheromone-updating mechanism is improved by threshold of the fitness function in presented method;
该方法设定适应度函数阈值改进了蚁群算法的信息素更新机制；
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