A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio.
Yongkuan YangJianchang LiuShubin TanHonghai WangPublished in: Appl. Soft Comput. (2019)
Keyphrases
- evolutionary algorithm
- multi objective
- constrained multi objective optimization problems
- nsga ii
- multi objective optimization
- optimization problems
- evolutionary computation
- optimization algorithm
- differential evolution
- particle swarm optimization
- simulated annealing
- fitness function
- multiobjective optimization
- pareto optimal
- genetic algorithm
- multiple objectives
- multi objective optimization problems
- crossover operator
- evolutionary optimization
- genetic operators
- conflicting objectives
- genetic programming
- metaheuristic
- multi objective particle swarm optimization
- trade off
- multiobjective evolutionary algorithm
- mutation operator
- particle swarm
- function optimization
- bi objective
- multi objective evolutionary algorithms
- feasible solution
- evolutionary process
- estimation of distribution algorithms
- multi criteria
- artificial neural networks
- high levels
- upper bound
- optimum design
- linear programming
- multi objective evolutionary
- multi objective genetic algorithms
- benchmark problems
- neural network