Hybridizing a fuzzy multi-response Taguchi optimization algorithm with artificial neural networks to solve standard ready-mixed concrete optimization problems.
Baris SimsekYusuf Tansel IçEmir Hüseyin SimsekPublished in: Int. J. Comput. Intell. Syst. (2016)
Keyphrases
- optimization algorithm
- artificial neural networks
- optimization problems
- multi objective
- evolutionary algorithm
- optimization method
- particle swarm optimization pso
- honey bee
- global optima
- differential evolution
- soft computing
- computational intelligence
- harmony search
- evolutionary multi objective
- optimization strategy
- cost function
- fuzzy systems
- neural network
- control parameters
- optimization methods
- neural network model
- metaheuristic
- fuzzy sets
- fuzzy logic
- nsga ii
- back propagation
- artificial intelligence
- hybrid algorithm
- bp neural network
- knapsack problem
- multi objective optimization
- using artificial neural networks
- artificial bee colony
- objective function
- hybrid optimization algorithm
- genetic algorithm