Study on a novel hybrid adaptive genetic algorithm embedding conjugate gradient algorithm
Pan Wang, Fan Zhun, Feng Shan, Yun Zhou · 2002
A hybrid adaptive genetic algorithm embedding conjugate gradient algorithm-conjugate gradient-adaptive evolutionary algorithm (CG-AGA) that combines the merit of the conjugate gradient algorithm is put forward in the paper. Compared with the conventional evolutionary algorithm, the new algorithm (CG-AEA) is more efficient in local searching, which is the major weak point of the conventional algorithm. Experiments have demonstrated the satisfactory speed and precision of CG-AEA.