Can Evolutionary Algorithms Beat Dynamic Programming for Hybrid Car Control?
Tobias RodemannKen NishikawaPublished in: EvoApplications (1) (2016)
Keyphrases
- evolutionary algorithm
- dynamic programming
- optimization problems
- optimal control
- differential evolution
- multi objective
- fitness function
- evolutionary computation
- control system
- simulated annealing
- control strategy
- genetic algorithm
- receding horizon
- multi objective optimization
- fuzzy controller
- stereo matching
- differential evolution algorithm
- genetic programming
- sequence alignment
- evolution strategy
- mutation operator
- dp matching
- control method
- coarse to fine
- greedy algorithm
- markov decision processes
- fuzzy logic
- learning algorithm