A review of surrogate-assisted evolutionary algorithms for expensive optimization problems.
Chun-lin HeYong ZhangDunwei GongXinfang JiPublished in: Expert Syst. Appl. (2023)
Keyphrases
- evolutionary algorithm
- optimization problems
- multi objective
- evolutionary computation
- fitness function
- differential evolution
- constrained optimization problems
- metaheuristic
- genetic programming
- knapsack problem
- multi objective optimization
- evolution strategy
- test problems
- genetic algorithm
- simulated annealing
- computationally expensive
- multiobjective optimization problems
- combinatorial optimization
- genetic operators
- evolutionary process
- evolutionary search
- optimization methods
- benchmark problems
- information systems
- genetic algorithm ga
- learning algorithm
- traveling salesman problem
- constraint satisfaction problems
- machine learning
- evolvable hardware
- optimization criteria
- artificial intelligence
- hyper heuristics
- evolutionary strategy
- computer vision
- mutation operator
- computationally intensive
- nsga ii
- constrained optimization
- optimization algorithm
- optimization method
- neural network