A surrogate-based evolutionary algorithm for highly constrained design problems.
Charlotte BeauthierPaul BeaucaireCaroline SainvituPublished in: GECCO (Companion) (2017)
Keyphrases
- highly constrained
- evolutionary algorithm
- multi objective
- optimization problems
- evolutionary computation
- simulated annealing
- fitness function
- multi objective optimization
- genetic operators
- genetic programming
- function optimization
- differential evolution
- genetic algorithm
- evolutionary process
- mutation operator
- constrained problems
- orders of magnitude
- neural network
- optimization method
- search strategies
- dynamic programming
- crossover operator
- special case
- optimal solution
- optimisation problems
- fitness landscape