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

Abstract

Multi-criterion, evolutionary and quantum decision making supported by the Adaptive Quantum-based Multi-criterion 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.

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Recent advances in applied and biomedical informatics and computational engineering in system applications : Proceedings of the 11th WSEAS International Conference on Applied Informatics and Communications (AIC'11) : Proceedingd of the 4th ESEAS International Conference on Biomedical Electronics and Biomedical Informatics (BEBI'11) : Proceedings of the International Conference on Environment, Economics, Energy, Devices, Systems, Communications, Computers, Pure and Applied Mathematics, Florence, Italy, August 23-25, 2011 strony 222 - 227
Language:
English
Publication year:
2011
Bibliographic description:
Balicki J., Drozda G., Masiejczyk J.: Multi-criterion, evolutionary and quantum decision making in complex systems// Recent advances in applied and biomedical informatics and computational engineering in system applications : Proceedings of the 11th WSEAS International Conference on Applied Informatics and Communications (AIC'11) : Proceedingd of the 4th ESEAS International Conference on Biomedical Electronics and Biomedical Informatics (BEBI'11) : Proceedings of the International Conference on Environment, Economics, Energy, Devices, Systems, Communications, Computers, Pure and Applied Mathematics, Florence, Italy, August 23-25, 2011/ Florence: WSEAS Press, 2011, s.222-227
Verified by:
Gdańsk University of Technology

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