Parallel cooperating A-teams

Authors:
Dariusz Barbucha;Ireneusz Czarnowski;Piotr Jędrzejowicz;Ewa Ratajczak-Ropel;Izabela Wierzbowska
Affiliations:
Department of Information Systems, Gdynia Maritime University, Gdynia, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland;Department of Information Systems, Gdynia Maritime University, Gdynia, Poland
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2011

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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.