The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 29-856
Full Name: Jerzy Balicki
Position: Professor
Age: ON
Sex: Male
Address: Naval University of Gdynia, 81-103 Gdynia, ul. Smidowicza 69, Poland
Country: POLAND
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E-mail address: JBalicki@interia.gdynia.pl
Other E-mails: J.Balicki@amw.gdynia.pl, Balicki@chello.pl
Title of the Paper: An Adaptive Quantum-based Evolutionary Algorithm for Multiobjective Optimization
Authors as they appear in the Paper: Jerzy Balicki
Email addresses of all the authors: JBalicki@interia.pl
Number of paper pages: 10
Abstract: An Adaptive Quantum-based Multi-criterion Evolutionary Algorithm called AQMEA is a new paradigm of decision making for complex systems. Quantum-based algorithms utilize a new representation for the smallest unit of information, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit chromosomes has a better characteristic of population diversity than other representations, since it can represent linear superposition of states probabilistically. Moreover, we consider the three-criterion problem of task assignment.
Keywords: Quantum algorithms, Multi-criterion optimization, Distributed systems
EXTENSION of the file: .pdf
Special (Invited) Session: An Adaptive Quantum-based Multiobjective Evolutionary Algorithm for Efficient Task Assignment in Distributed Systems
Organizer of the Session: 620-453
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