Abstract
The paper proposes and evaluates an architecture for solving difficult combinatorial optimization problems in which several A-Teams work in parallel and cooperate. The proposed approach has been implemented to solve instances of several computationally hard combinatorial optimization problems. Computational experiment carried-out using the available benchmark datasets, has confirmed that the proposed architecture may be competitive in terms of the quality of solutions in comparison with using traditional, non-cooperating, teams of agents.
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Barbucha, D., Czarnowski, I., Jędrzejowicz, P., Ratajczak-Ropel, E., Wierzbowska, I. (2011). Parallel Cooperating A-Teams. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_33
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DOI: https://doi.org/10.1007/978-3-642-23938-0_33
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