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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Cultural Operators for a Quantum-Inspired Evolutionary Algorithm Applied to Numerical Optimization Problems
verfasst von : André V. Abs da Cruz, Marco Aurélio C. Pacheco, Marley Vellasco, Carlos R. Hall Barbosa
Erschienen in: Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
Verlag: Springer Berlin Heidelberg
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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.