A global multi-objective optimization tool for design of mechatronic components using Generalized Differential Evolution.
Michael M. BechChristian NoergaardDaniel B. RoemerSaku KukkonenPublished in: IECON (2016)
Keyphrases
- multi objective optimization
- differential evolution
- evolutionary algorithm
- multi objective
- optimization algorithm
- convergence speed
- evolutionary strategy
- multi objective optimization problems
- particle swarm optimization
- differential evolution algorithm
- genetic algorithm
- constrained optimization problems
- test functions
- mutation operator
- optimization method
- multi objective problems
- nsga ii
- particle swarm optimization pso
- multiple objectives
- evolution strategy
- multi objective genetic algorithms
- constraint handling
- multi objective evolutionary algorithms
- numerical optimization problems
- parameter optimization
- premature convergence
- hybrid algorithm
- multi objective genetic algorithm
- genetic programming
- optimization problems
- bi objective
- optimum design
- global optimization problems
- initial population
- multiobjective optimization
- network design
- crossover and mutation
- pareto optimal
- neural network