A Novel Deterministic Quantum Swarm Evolutionary Algorithm

This paper presents a novel deterministic quantum swarm evolutionary (DQSE) algorithm based on the discovery of the drawback of the standard quantum swarm evolutionary (QSE) algorithm, in which a deterministic search strategy, inspired by the nature of qubit-based evolutionary algorithms and the characteristics of qubits, is proposed to avoid the misleading of search and strengthen the global search ability. The experimental results show that the developed DQSE outperforms the quantum-inspired evolutionary algorithm, the quantum-inspired evolutionary algorithm with NOT gate and QSE in terms of the search accuracy and the convergence speed, which demonstrates that DQSE is an effective and efficient optimization algorithm.