An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions.
Tingting XiaMian LiPublished in: J. Comput. Inf. Sci. Eng. (2021)
Keyphrases
- multi objective
- optimization method
- optimization algorithm
- evolutionary algorithm
- genetic algorithm
- multi objective optimization problems
- conflicting objectives
- particle swarm
- pareto set
- multi objective optimization
- multiple objectives
- pareto optimal solutions
- differential evolution
- bi objective
- pareto optimal
- optimization methods
- multiobjective optimization
- optimization process
- nonlinear optimization
- simulated annealing
- optimization procedure
- particle swarm optimization
- multi objective evolutionary algorithms
- computationally efficient
- global optimum
- evolutionary computation
- multi objective problems
- objective function
- nsga ii
- search capabilities
- metaheuristic
- optimization problems
- particle swarm optimization pso
- optimization strategy
- optimal solution
- benchmark problems
- fitness function
- nelder mead simplex
- quasi newton
- multi objective genetic algorithm
- genetic programming
- convergence speed
- solution quality
- neural network