Genetic algorithms optimized multi-objective controller for an induction machine based electrified powertrain.
Athar HanifQadeer AhmedAamer I. BhattiGiorgio RizzoniPublished in: CCTA (2017)
Keyphrases
- multi objective
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- objective function
- particle swarm optimization
- multiple objectives
- multiobjective optimization
- evolutionary optimization
- control system
- neural network
- real time
- fitness function
- genetic programming
- pid controller
- multi objective genetic algorithms
- optimal control
- closed loop
- evolutionary computation
- multi objective optimization problems
- control architecture
- bi objective
- nsga ii
- control algorithm
- flowshop
- control scheme
- fuzzy controller
- machine learning
- multi objective evolutionary
- optimum design
- inductive logic programming
- reinforcement learning
- genetic search
- batch processing
- conflicting objectives
- traffic simulator
- genetic algorithm is employed
- trade off
- pareto optimal
- feasible solution
- control method
- pso algorithm