![]() ![]() The simulation results show that the algorithm based on Green CBTC system can effectively reduce the energy-using due to the improvement of the using rate of regenerative braking feedback energy.Īutomatic differentiation algorithms in model analysis Due to the reason, the energy-using of Green CBTC system is lower than traditional CBTC system. ![]() Based on the Green CBTC system, the algorithm can adjust the operation status of the train to improve the efficient using rate of regenerative braking feedback energy while ensuring the timing, comfort and precise parking targets. In order to solve the problem of energy-saving, this paper proposes an automatic speed control algorithm based on Green CBTC system. #PROBLEMS IWTH FALLBACK PLAYLIST FESTIFY MANUAL#However, the current used algorithm is poor at energy-saving, even not as good as manual driving. It has been found that the automatic speed control technology can effectively reduce the driver’s intensity, and improve the operation quality. At present, the train speed automatic control technology is widely used in metro and inter-city railways. It’s a typical multi-objective optimization control algorithm, which achieve the train speed control for timing, comfort, energy-saving and precise parking. Lin, Ying Xiong, Hui Wang, Xiaoliang Wu, Youyou Zhang, ChuanqiĪutomatic speed control algorithm is one of the core technologies of train operation control system. The research of automatic speed control algorithm based on Green CBTC The results show that the proposed algorithm can outperform standard differential evolution algorithm in terms of convergence speed and solution accuracy which shows that the algorithm designed automatically by computers can compete with the algorithms designed by human beings. In order to verify the performance of the proposed algorithm, comprehensive experiments on 23 well-known benchmark optimization problems are conducted. ![]() The resulting algorithm not only explores solutions in the problem space like most traditional evolutionary algorithms do, but also automatically generates genetic operators in the operator space. A fundamental question is “are there any algorithms that can design evolutionary algorithms automatically?†A more complete definition of the question is “can computer construct an algorithm which will generate algorithms according to the requirement of a problem?†In this paper, a novel evolutionary algorithm based on automatic designing of genetic operators is presented to address these questions. Despite the great diversity of these algorithms, virtually all of the algorithms share one feature: they have been manually designed. The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operatorsĭirectory of Open Access Journals (Sweden)įull Text Available At present there is a wide range of evolutionary algorithms available to researchers and practitioners. ![]()
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