Improving the performance of evolutionary algorithms by soft-constraining their sampling capabilities.

Pilar Caamaño Gervasio Varela Richard J. Duro

Published 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