Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System.
Alberto PajaresXavier Blasco FerragudJuan M. HerreroJose Vicente SalcedoPublished in: IEEE Access (2020)
Keyphrases
- multi objective optimization
- fuel cell
- multi objective
- optimal solution
- evolutionary algorithm
- nsga ii
- fault detection
- genetic algorithm
- bi objective
- pareto optimal
- objective function
- simulated annealing
- multi objective optimization problems
- input output
- differential evolution
- multiple objectives
- lower bound
- continuous stirred tank reactor
- np hard
- pareto optimal set
- solution quality
- linear programming
- optimization algorithm
- search space
- complex optimization problems
- knapsack problem
- multi objective genetic algorithm
- efficient solutions
- pareto optimal solutions
- metaheuristic
- pareto dominance
- estimation of distribution algorithms
- optimization problems
- multi input multi output