To enhance the optimization ability of particle swarm algorithm, a novel quantum-inspired particle swarm optimization algorithm is proposed. In this method, the particles are encoded by the probability amplitudes of the basic states of the multi-qubits system. The rotation angles of multi-qubits are...
Many feasible and promising swarm intelligence algorithms have been proposed to solve the optimization problems, especially the global numerical optimization problems. It is easier to be in not a global state but a local optimal state, as the particle swarm optimization algorithm cannot update the pop...
A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations. The positions of particle are coded by probability amplitudes of qubits that are updated by quantum rotation gates in this method. The corresponding real number solution at specified interv...
Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the algorithm has less parameters and is easily implemented. In view of the existing quantum behaved particle swarm optimization algorithm for the premature convergence problem, put forward a quantum particle swarm optimiz...
Particle swarm optimization algorithm an overview 一种改进的粒子群优化算法 an improved artificial fish swarm algorithm based on hybrid:一种改进的基于混合的人工鱼群算法 A COPMARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENEITC ALGORITHM 一种新的混合粒子群优化算法 一种高速收敛粒子群优化算法 A dynamic...
Quantum_ Behaved Particle Swarm Optimization Algorithm Based on Simplex Method 喜欢 0 阅读量: 34 作者:任小康,郝瑞芝,孙正兴,史变霞 摘要: 针对粒子群优化算法容易陷入局部极值点,进化后期收敛慢和优化精度较差等缺点,提出了将单纯形搜索法与量子粒子群算法混合的改进算法,更好的平衡了全局搜索和局部搜索能力....
rectangle-packing problems was proposed.The rectangle-packing is to replace two-dimensional irregular objects with their best rectangle,which is the first step of the clothing layout.The experimental results show that QPSO is better at solving the layout problem than PSO and GA(Genetic Algorithm).XU...
A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations. The positions of particle are coded by probability amplitudes of quits that are updated by quantum rotation gates in this method. The corresponding real number solution at specified interva...
Quantum-behaved particle swarm optimization (QPSO) algorithm is a global-convergence-guaranteed algorithm, which outperforms original PSO in search ability but has fewer parameters to control. But QPSO algorithm is to be easily trapped into local optima as a result of the rapid decline in diversity...
A Novel Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Constrained Engineering DesignThis paper presents a new bio-inspired algorithm named Competitive Quantum-Behaviour Evolutionary Multi-Swarm Optimization (CQEMSO) based on CUDA parallel ...