Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system.
Ali JamaliRammohan MallipeddiM. SalehpourAhmad BagheriPublished in: Swarm Evol. Comput. (2020)
Keyphrases
- multi objective
- optimum design
- differential evolution algorithm
- fuzzy inference
- evolutionary algorithm
- crossover rate
- differential evolution
- control parameters
- optimization algorithm
- multi objective optimization
- fuzzy controller
- premature convergence
- particle swarm
- evolutionary computation
- multiobjective optimization
- particle swarm optimization
- fuzzy rules
- genetic algorithm
- optimization problems
- neural network
- soft computing
- scale factor
- fuzzy logic
- fuzzy sets
- initial population
- pso algorithm
- fuzzy model
- control system
- fuzzy systems
- membership functions
- optimization method
- genetic programming
- simulated annealing
- fuzzy control
- fitness function
- nsga ii
- rule base
- back propagation
- mathematical model
- real time
- crossover operator
- convergence speed
- artificial neural networks