Evolution of Optimal Control for Energy-Efficient Transport

作者: Adam Gaier , Alexander Asteroth

DOI: 10.1109/IVS.2014.6856455

关键词: Optimal controlGraph (abstract data type)Efficient energy useEmbedded applicationsEngineeringEvolutionary algorithmControl engineeringDynamic programmingTime efficientMathematical optimizationRoute planning

摘要: An evolutionary algorithm is presented to solve the optimal control problem for energy driving. Results show that computes equivalent strategies as traditional graph searching approaches like dynamic programming or A*. The proves be time efficient while saving multiple orders of magnitude in memory compared techniques. Thereby making it applicable embedded applications such eco-driving assistants intelligent route planning.

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