Multi-objective Optimization Strategy of Train ATO Based on Improved Grey Wolf Algorithm

In order to meet the requirements of safety, energy conservation, punctuality, comfort and other indicators in the operation process of train ATO, a multi-objective optimization strategy based on improved Grey Wolf Optimizer (GWO) algorithm was proposed. Firstly, based on the train operation control...

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Vydané v:	2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) s. 565 - 570
Hlavný autor:	Jiang, Minjian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.04.2024
Predmet:	Automatic Train Operation Computers Energy conservation Energy consumption Heuristic algorithms Image processing improved grey wolf algorithm Mathematical models multi-objective optimization Optimization Safety Testing train operation control
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