Cultural operators for a quantum-inspired evolutionary algorithm applied to numerical optimization problems

Authors:
André V. Abs da Cruz;Marco Aurélio C. Pacheco;Marley Vellasco;Carlos R. Hall Barbosa
Affiliations:
ICA — Applied Computational Intelligence Lab, Electrical Engineering Department, Pontifícia Universidade Católica do Rio de Janeiro;ICA — Applied Computational Intelligence Lab, Electrical Engineering Department, Pontifícia Universidade Católica do Rio de Janeiro;ICA — Applied Computational Intelligence Lab, Electrical Engineering Department, Pontifícia Universidade Católica do Rio de Janeiro;ICA — Applied Computational Intelligence Lab, Electrical Engineering Department, Pontifícia Universidade Católica do Rio de Janeiro
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

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Abstract

This work presents the application of cultural algorithms operators to a new quantum-inspired evolutionary algorithm with numerical representation. These operators (fission, fusion, generalization and specialization) are used in order to provide better control over the quantum-inspired evolutionary algorithm. We also show that the quantum-inspired evolutionary algorithm with numerical representation behaves in a very similar manner to a pure cultural algorithm and we propose further investigations concerning this aspect.