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Intellectics Group: Technical Report 97-04

MAX-MIN Ant System for Quadratic Assignemnt Problems

Thomas Stützle

In this paper we present the application of MAX--MIN Ant System to the Quadratic Assignment Problem. MAX--MIN Ant System is an improvement over Ant System, an earlier proposed algorithm of Ant Colony Optimization. The computational results show that very high solutions quality can be obtained using our approach. As MAX--MIN Ant System is a hybrid algorithm combining solution construction with local search, the kind of local search procedure has significant influence on its final performance. In particular, we show that the best choice of a local search procedure depends strongly on the instance type.

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