A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems.
Zan YangHaobo QiuLiang GaoDanyang XuYuanhao LiuPublished in: Inf. Sci. (2023)
Keyphrases
- constrained optimization problems
- computationally expensive
- evolutionary algorithm
- unconstrained optimization problems
- differential evolution
- constraint handling
- optimization problems
- evolutionary computation
- augmented lagrangian
- fitness function
- multi objective
- constrained optimization
- crossover operator
- equality constraints
- computationally efficient
- mutation operator
- multi objective optimization
- test functions
- simulated annealing
- genetic programming
- genetic operators
- global convergence
- penalty function
- optimization algorithm
- evolution strategy
- genetic algorithm
- differential evolution algorithm
- convergence speed
- combinatorial optimization
- dynamic programming
- particle swarm
- nonlinear programming
- optimization methods
- neural network