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University, Changsha 410082, China)Abstract:An adaptive technique adopting quantum genetic algorithm (QGA) for antenna impedance tuning is presented. Three examples are given with different types... power. The reflection coefficient and VSWR obtained are also very close to their ideal values. Comparison of the proposed QGA tuning method with conventional genetic algorithm based tuning method is also......
J. Cent. South Univ. (2021) 28: 1747-1764 DOI: https://doi.org/10.1007/s11771-021-4730-x Rotation forest based on multimodal genetic algorithm XU Zhe(徐喆)1, 3, NI Wei-chen(倪维晨)2, JI Yue-hui(吉月辉)1, 3... feasible, but it requires massive computing resources, potentially restricting its applications. A multimodal genetic algorithm based rotation forest (MGARF) algorithm is proposed in this paper to solve......
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to realize the certain transformation of the model. By integrating interval algorithm and genetic algorithm, an interval hierarchical optimal genetic algorithm is proposed to solve the model. It is shown...:uncertainty; interval planning; hierarchical OD; logistics network design; genetic algorithm......
; Fuzzy adaptive genetic algorithm based on auto... were optimized by another genetic algorithm. Experimental results in solving the function optimization problems demonstrate that the convergence rate and solution quality of ARFR-FAGA exceed those......
for the pure electric bus was built. According to the features of constrained optimization for multi-variable function, a multi-objective genetic algorithm (GA) was designed. Based on the model of system... genetic algorithm has better road feel, steering sensibility and steering stability. The energy of steering road feel after optimization is 1.44 times larger than the one before optimization......
J. Cent. South Univ. (2018) 25: 151-158 DOI: https://doi.org/10.1007/s11771-018-3725-8 Semi-autogenous mill power prediction by a hybrid neural genetic algorithm Hoseinian Fatemeh Sadat1... and genetic algorithm (GANN) models with relations of input and output data in the full-scale. The results show that the GANN model is more efficient than the ANN model in predicting SAG mill power......
J. Cent. South Univ. (2012) 19: 2554-2560 DOI: 10.1007/s11771-012-1310-0 A novel adaptive mutative scale optimization algorithm based on chaos genetic method and its optimization efficiency... method and genetic algorithm, an adaptive mutative scale chaos genetic algorithm (AMSCGA) was proposed by using one-dimensional iterative chaotic self-map with infinite collapses within the finite region......
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