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Modified ACO for General Continuous Function Optimization

机译:用于一般连续功能优化的修改后的ACO

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摘要

For the drawbacks of application in general function optimization using Ant Colony Optimization (ACO), ant's move method and pheromone updating strategy is modified on ACO. And typical problems are used to demonstrate its validation. The results show that after modification, the convergence process is quicker and the approach is found to give accuracy. At the end of this paper, the parameters selection of the modified ACO is analysised, and the reasonable ranges of parameters are recommended, which is better for popularization.
机译:针对蚁群优化算法在一般函数优化中应用的弊端,对蚁群的移动方法和信息素更新策略进行了修改。并使用典型问题来证明其有效性。结果表明,修改后的收敛速度更快,并且发现该方法具有较高的准确性。最后,对改进后的ACO的参数选择进行了分析,并提出了合理的参数范围,以利于推广。

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