提出一种改进的蚁群算法，并将其与启发式方法相结合以解决多点路由问题。
In this paper, the performance of as is improved and the improved as is combined with the heuristic algorithm to solve the multicast routing problem.
进一步采用改进的蚁群算法来对发酵过程的控制变量进行优化，使发酵的产物产量得到提高。
Based on the neural network models, the control variables are optimized with improved ant algorithm. And the yield of the product can be increased by optimization.
针对出租车路径规划问题的特点以及蚁群算法在这方面应用的一些不足，提出了一种改进的蚁群算法。
An improved ant colony algorithm was presented, which aimed at the character of the taxi routing problem and the drawback of ant colony system applied in the planning of the transportation resource.
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