作者: Adam Gaier , Alexander Asteroth
关键词: Optimal control 、 Graph (abstract data type) 、 Efficient energy use 、 Embedded applications 、 Engineering 、 Evolutionary algorithm 、 Control engineering 、 Dynamic programming 、 Time efficient 、 Mathematical optimization 、 Route 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.