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The Particle Swarm Optimizer (PSO) is such a complex stochastic process so that analysis on the stochastic behavior of the PSO is not easy. As far as our investigation, most of the relevant researches are based on computer simulations and seldom of them are based on theoretical approach. In this paper, theoretical approach is used to investigate the behavior of PSO. Firstly, a state of PSO is defined...
A novel real-coded quantum genetic algorithm (RQGA) is designed. The concept of real qubit and real quantum gate is proposed to express the genes and accelerate the convergence rate. All the genes of a chromosome are expressed by phase angles instead of real values. Experiment results of radiation pattern synthesis for smart antenna show that the proposed algorithm achieves more satisfactory effect...
In this paper, compared with genetic algorithm (GA), an improved quantum genetic algorithm (QGA) was proposed, and it was used to calculate the complex excitations, amplitudes and phases of adaptive antenna arrays. The optimization goal is to maximize the output power of the desired signal and minimize the total output power of the interfering signals. Simulation results show that the improved QGA...
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