A multiobjective non-linear dynamic programming approach for optimal biological control in soy farming via NSGA-II.
André R. da CruzRodrigo T. N. CardosoElizabeth F. WannerRicardo H. C. TakahashiPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- multi objective
- nsga ii
- dynamic programming
- pareto optimal
- optimal control
- multiobjective optimization
- evolutionary algorithm
- multi objective optimization
- multiobjective evolutionary algorithm
- knapsack problem
- optimal solution
- multiobjective optimization problems
- pareto fronts
- optimization algorithm
- test problems
- objective function
- pareto dominance
- multi objective evolutionary algorithms
- multi objective optimization problems
- multi objective differential evolution
- pareto optimal set
- uniform design
- genetic algorithm
- multiple objectives
- evolutionary multiobjective
- bi objective
- evolutionary multiobjective optimization
- pareto optimal solutions
- constrained multi objective optimization problems
- multi objective optimisation
- optimization problems
- particle swarm optimization
- multi objective problems
- linear programming
- pareto set
- greedy algorithm
- worst case
- biological systems
- ant colony optimization
- multi criteria
- strength pareto evolutionary algorithm
- traveling salesman problem
- decision variables