Artificial Neural Network and Differential Evolution methodologies used in single- and multi-objective formulations for the solution of subsurface water management problems.
Ioannis K. NikolosMaria P. PapadopoulouGeorge P. KaratzasPublished in: Int. J. Adv. Intell. Paradigms (2010)
Keyphrases
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- conflicting objectives
- multi objective problems
- multi objective optimization problems
- multi objective optimization
- direct search
- particle swarm optimization
- optimization method
- artificial neural networks
- global optimization problems
- particle swarm optimization pso
- convergence speed
- differential evolution algorithm
- genetic algorithm
- nsga ii
- optimization problems
- constrained optimization problems
- multi objective evolutionary algorithms
- bi objective
- test functions
- numerical optimization problems
- evolution strategy
- evolutionary strategy
- multiobjective optimization
- mutation operator
- artificial bee colony
- genetic algorithm ga
- multiple objectives
- function optimization problems
- pareto optimal solutions
- objective function
- pso algorithm
- efficient solutions
- benchmark problems
- neural network
- mixed integer
- metaheuristic
- real coded
- optimization methods
- test problems