An adaptive quantum-based multiobjective evolutionary algorithm for efficient task assignment in distributed systems

  • Authors:
  • Jerzy Balicki

  • Affiliations:
  • Naval University of Gdynia, Gdynia, Poland

  • Venue:
  • ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
  • Year:
  • 2009

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Abstract

Multi-criterion quantum programming is a new paradigm of decision making for complex systems. Quantum-based multiobjective algorithm utilizes a new representation, called a Q-bit, for the probabilistic representation that is based on the concept of qubits. Evolutionary computing with Q-bit representation has a better characteristic of population diversity than other representations, since it can represent linear superposition of states probabilistically. We consider the multi-criterion problem of task assignment, where both a workload of a bottleneck computer and the cost of system are minimized; in contrast, a reliability of the distributed system is maximized.