A hybrid quantum evolutionary algorithm for solving engineering optimization problems

Abstract

Evolutionary Algorithms (EA) have been successfully employed for solving difficult constrained engineering optimization problems. However, EA implementations often suffer from premature convergence due to the lack of proper balance between exploration and exploitation in the search process. This paper proposes a Hybrid Quantum inspired EA, which balances… (More)
DOI: 10.3233/HIS-2010-0115

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