Improving the performance of evolutionary algorithms by soft-constraining their sampling capabilities.
Pilar CaamañoGervasio VarelaRichard J. DuroPublished in: CEC (2015)
Keyphrases
- evolutionary algorithm
- multi objective
- optimization problems
- differential evolution
- evolutionary computation
- fitness function
- genetic programming
- multi objective optimization
- random sampling
- monte carlo
- evolvable hardware
- simulated annealing
- genetic algorithm
- differential evolution algorithm
- data sets
- evolution strategy
- mutation operator
- sampling strategy
- evolutionary process
- crossover operator
- optimization algorithm
- machine learning
- hybrid algorithm
- evolutionary strategy
- constrained optimization problems
- optimal solution
- evolutionary search
- database