Microsoft Word - Quantum-behaved Particle Swarm Optimization With Elitist ..
نویسندگان
چکیده
Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which outperforms traditional PSOs in search ability as well as having fewer parameters to control. In this paper, in order to depict the thinking model of people accurately that the decision-making is always influenced by the important part factors which we called elitist, so elitist mean best position is developed in QPSO to balance the global searching ability and convergence speed, and proposes a revised QPSO algorithms (EQPSO). After that, the revised QPSO algorithm is tested on several benchmark functions compared with standard QPSO and the experiment results show its superiority.
منابع مشابه
An Improved Quantum-Behaved Particle Swarm Optimization Algorithm with Elitist Breeding for Unconstrained Optimization
An improved quantum-behaved particle swarm optimization with elitist breeding (EB-QPSO) for unconstrained optimization is presented and empirically studied in this paper. In EB-QPSO, the novel elitist breeding strategy acts on the elitists of the swarm to escape from the likely local optima and guide the swarm to perform more efficient search. During the iterative optimization process of EB-QPS...
متن کاملOPTIMUM SHAPE DESIGN OF DOUBLE-LAYER GRIDS BY QUANTUM BEHAVED PARTICLE SWARM OPTIMIZATION AND NEURAL NETWORKS
In this paper, a methodology is presented for optimum shape design of double-layer grids subject to gravity and earthquake loadings. The design variables are the number of divisions in two directions, the height between two layers and the cross-sectional areas of the structural elements. The objective function is the weight of the structure and the design constraints are some limitations on str...
متن کاملAn Evolutionary Quantum Behaved Particle Swarm Optimization for Mining Association Rules
In data mining, association rule mining is a popular and well researched method for discovering interesting relations between variables in large databases, which are meaningful to the users and can generate strong rules on the basis of these frequent patterns, which are helpful in decision support system. Quantum Particle Swarm Optimization (QPSO) is one of the several methods for mining associ...
متن کاملA Novel Cultural Quantum-behaved Particle Swarm Optimization Algorithm
A novel cultural quantum-behaved particle swarm optimization algorithm (CQPSO) is proposed to improve the performance of the quantum-behaved PSO (QPSO). The cultural framework is embedded in the QPSO, and the knowledge stored in the belief space can guide the evolution of the QPSO. 15 high-dimensional and multi-modal functions are employed to investigate the proposed algorithm. Numerical simula...
متن کاملAdaptive Parameter Selcetoin of Quantum-behaved Particle Swarm Optimization on Global Lebvel
In this paper, we formulate the dynamics and philosophy of Quantum-behaved Particle Swarm Optimization (QPSO) Algorithm, and suggest a parameter control method based on the whole population level. After that we introduce a diversity-guided model into the QPSO to make the PSO system an open evolutionary particle swarm and therefore propose the Adaptive Quantum-behaved Particle Swarm Optimization...
متن کامل