A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems.
Anna SyberfeldtHenrik GrimmAmos H. C. NgRobert Ivor JohnPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- computationally expensive
- optimization problems
- multi objective evolutionary algorithms
- nsga ii
- evolutionary algorithm
- test problems
- multi objective
- multi objective optimization problems
- multi objective optimization
- benchmark test
- computationally efficient
- knapsack problem
- candidate solutions
- metaheuristic
- pareto optimal
- cost function
- objective function
- multiobjective optimization
- benchmark problems
- differential evolution
- fitness function
- evolutionary computation
- multiobjective evolutionary algorithm
- multi objective evolutionary
- bi objective
- traveling salesman problem
- combinatorial optimization problems
- optimization algorithm
- particle swarm optimization
- multi objective problems
- probability distribution
- optimal solution