A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization.
Jun DongWenyin GongFei MingLing WangPublished in: Expert Syst. Appl. (2022)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- differential evolution
- evolutionary computation
- constrained multi objective optimization problems
- hybrid evolutionary algorithm
- pareto optimal
- optimization problems
- genetic algorithm
- nsga ii
- fitness function
- genetic programming
- genetic operators
- multiple objectives
- mutation operator
- simulated annealing
- multi objective optimization problems
- evolution strategy
- bi objective
- evolutionary strategy
- function optimization
- multi objective genetic algorithm
- crossover operator
- pareto optimal set
- pareto dominance
- multi objective problems
- convergence speed
- multi objective genetic algorithms
- complex optimization problems
- multi objective optimisation
- pareto optimal solutions
- constrained optimization problems
- multi objective evolutionary algorithms
- neural network