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This paper presents an ant colony optimization algorithm with the 2nd Newton Law. We couple a group of parameters with the basic ant colony approach to handle the balance between the convergent speed and the global solution searching ability. This approach narrates the pheromone increasing style with the 2nd Newton law, and some new parameters named agglomeration and acceleration are used to describe...
The attributes reduction (AR) and their values are one of the highlight of rough set theory. Decision table can be simplified effectively by critical attributes and their values. But this problem is an NP-hard problem. On terms of the similarity and difference between TSP (travel salesman problem) and AR, the ant colony algorithm (ACA) is applied to solve AR problem, and an self-adaptive ant colony...
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