Adaptive Non-uniform Distribution of Quantum Particles in mQSO

  • Krzysztof Trojanowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5361)


This paper studies properties of quantum particles rules of movement in particle swarm optimization (PSO) for non-stationary optimization tasks. A multi-swarm approach based on two types of particles: neutral and quantum ones is a framework of the experimental research. A new method of generation of new location candidates for quantum particles is proposed. Then a set of experiments is performed where this method is verified. The test-cases represent different situations which can occur in the search process concerning different numbers of moving peaks respectively to the number of sub-swarms. To obtain the requested circumstances in the testing environment the number of sub-swarms is fixed. The results show high efficiency and robustness of the proposed method in all of the tested variants.


Search Space Neutral Particle Quantum Particle Location Candidate Base Version 
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© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Krzysztof Trojanowski
    • 1
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarsawPoland

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