A penalty decomposition approach for multi-objective cardinality-constrained optimization problems.
Matteo LapucciPublished in: Optim. Methods Softw. (2022)
Keyphrases
- constrained optimization problems
- multi objective
- evolutionary algorithm
- penalty function
- objective function
- constrained optimization
- constraint handling
- optimization problems
- differential evolution
- genetic algorithm
- optimization algorithm
- multi objective optimization
- augmented lagrangian
- evolutionary optimization
- fitness function
- particle swarm optimization
- evolutionary computation
- crossover operator
- equality constraints
- multiple objectives
- nsga ii
- multi objective optimization problems
- simulated annealing
- optimization method
- pareto optimal
- bi objective
- conflicting objectives
- genetic programming
- evolution strategy
- cost function
- genetic algorithm ga
- neural network
- linear programming
- convergence speed
- feasible solution
- benchmark problems
- multi objective evolutionary algorithms
- particle swarm
- scheduling problem