Multi-criterion, evolutionary and quantum decision making in complex systems

Authors:
Jerzy Balicki;Grzegorz Drozda;Jan Masiejczyk
Affiliations:
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdańsk, Poland;Atena, Sopot, Poland;Naval Academy of Gdynia, Poland
Venue:
AIASABEBI'11 Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications
Year:
2011

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Abstract

Multi-criterion, evolutionary and quantum decision making supported by the Adaptive Quantum-based Multicriterion Evolutionary Algorithm (AQMEA) has been considered for distributed complex systems. AQMEA had been developed to the task assignment problem, and then it has been applied to underwater vehicle planning as another benchmark three-criterion optimization problem. For evaluation of a vehicle trajectory three criteria have been used.