Addressing Constrained Sampling Optimization Problems Using Evolutionary Algorithms.
Pilar CaamañoGervasio VarelaRichard J. DuroPublished in: HAIS (2013)
Keyphrases
- evolutionary algorithm
- optimization problems
- constrained problems
- multi objective
- evolutionary computation
- constrained multi objective optimization problems
- metaheuristic
- differential evolution
- random sampling
- benchmark problems
- genetic programming
- test problems
- simulated annealing
- genetic algorithm
- constrained optimization problems
- knapsack problem
- optimization methods
- fitness function
- sampling strategies
- multi objective optimization
- combinatorial optimization
- monte carlo
- evolution strategy
- sampling algorithm
- evolutionary search
- genetic operators
- crossover operator
- mutation operator
- optimization method
- sampling methods
- nonlinear optimization problems
- sampling strategy
- multiobjective optimization problems
- traveling salesman problem
- evolutionary methods
- neural network
- population based incremental learning
- multiobjective evolutionary algorithms
- computational intelligence
- evolvable hardware
- parameter space
- optimization algorithm
- evolutionary process
- sample size