Design and Implementation of Quantum-Inspired Bee Colony Algorithm

Authors

Shuyun Yang, 1. Admission and Employment office, Northeast Petroleum University, Daqing 163318, China; ;
Panchi Li, 2. School of Computer & Information Technology, Northeast Petroleum University, Daqing 163318, China;

Abstract

Abstract: To enhance the performance of artificial bee colony algorithm, a quantum-inspired bee colony algorithm was proposed. In the proposed approach, the bees were encoded with the qubits described on the Bloch sphere. The evolutionary search was achieved by rotating the qubit about the rotation axis on the Bloch sphere. The Bloch coordinates of qubit can be obtained by measuring with the Pauli matrices, and the optimization solutions can be presented through the solution space transformation. The highlight advantages of this method are the ability to simultaneously adjust two parameters of a qubit and automatically achieve the best match between two adjustment quantities. The experimental results show that the proposed method obviously outperforms the classical one for some benchmark functions and the water flooded layer identification.

Recommended Citation

Yang, Shuyun and Li, Panchi (2020) "Design and Implementation of Quantum-Inspired Bee Colony Algorithm," Journal of System Simulation: Vol. 27: Iss. 7, Article 11.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss7/11

First Page

1480

Revised Date

2014-08-09

DOI Link

https://doi.org/

Last Page

1489

CLC

TP183

Recommended Citation

Yang Shuyun, Li Panchi. Design and Implementation of Quantum-Inspired Bee Colony Algorithm[J]. Journal of System Simulation, 2015, 27(7): 1480-1489.