Modified ACO for General Continuous Function Optimization

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.