Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
A framework for fast quantum mechanical algorithms
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Wireless Communications Systems: Advanced Techniques for Signal Reception
Wireless Communications Systems: Advanced Techniques for Signal Reception
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Robust multiuser detection based on variable loading RLS technique
Signal Processing
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
International Journal of Bio-Inspired Computation
Particle swarm optimisation algorithm with forgetting character
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Quantum-Inspired Immune Clonal Algorithm for Global Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Information Theory
Genetically modified multiuser detection for code division multiple access systems
IEEE Journal on Selected Areas in Communications
Hopfield neural network implementation of the optimal CDMA multiuser detector
IEEE Transactions on Neural Networks
A simple quantum-inspired bee colony algorithm for discrete optimisation problems
International Journal of Computer Applications in Technology
Sub-pixel mapping of remote-sensing imagery based on chaotic quantum bee colony algorithm
International Journal of Computing Science and Mathematics
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To resolve local convergent difficulty of combinatorial optimisation algorithm, a quantum bee colony optimisation (QBCO) that employs novel evolutionary quantum equations is proposed. The proposed QBCO algorithm applies quantum coding and quantum rotation mechanism to evolutionary process of bee colony, which is a simple and effective discrete optimisation algorithm. Then, the proposed quantum bee colony optimisation algorithm is used to solve robust multi-user detection problem of code division multiple access (CDMA) system in the presence of impulsive noise. Furthermore, by hybridising the stochastic Hopfield neural network and quantum bee colony optimisation, the quantum state and measure state of the quantum bee are co-evolutionary in design of robust multi-user detection. The new multi-user detection algorithm can search global optimal solution in faster convergence rate. Simulation results for CDMA system are provided to show that the designed robust detectors are superior to some previous detectors in bit error rate (BER), multiple access interference and near-far resistance.