Multi-objective optimization of spatial sampling using a new hybrid AMOSA_NSGA-II algorithm.
Elaheh LotfianMohsen MohammadzadehPublished in: Comput. Appl. Math. (2023)
Keyphrases
- multi objective optimization
- multi objective
- nsga ii
- multi objective optimization problems
- evolutionary algorithm
- optimization algorithm
- multiobjective evolutionary algorithm
- bi objective
- test problems
- multi objective evolutionary algorithms
- test functions
- pareto optimal
- dynamic programming
- optimal solution
- objective function
- particle swarm optimization
- multi objective genetic algorithm
- simulated annealing
- pareto optimal solutions
- uniform design
- pareto set
- multi objective problems
- search space
- pareto optimal set
- computational complexity
- genetic algorithm
- complex optimization problems
- np hard
- computational efficiency
- multiobjective optimization
- multiple objectives
- computationally efficient
- optimization problems
- worst case
- lower bound
- knapsack problem
- neural network
- fitness function
- linear programming
- upper bound
- scheduling problem
- constrained multi objective optimization problems