Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms.
Ankush ChoudharyManoj KumarMunish Kumar GuptaDeepak Kumar UnuneMozammel MiaPublished in: Neural Comput. Appl. (2020)
Keyphrases
- welding process
- hybrid pso
- evolutionary algorithm
- intelligent optimization
- mathematical modeling
- multi objective
- discrete particle swarm optimization
- particle swarm optimization
- differential evolution
- hybrid particle swarm optimization
- pso algorithm
- particle swarm optimization pso
- genetic algorithm
- fitness function
- industrial processes
- hybrid model
- evolutionary computation
- genetic algorithm ga
- simulated annealing
- radial basis function neural network
- optimization problems
- multi objective optimization
- evolutionary strategy
- differential evolution algorithm
- ordinary differential equations
- machine learning
- mutation operator
- hybrid algorithm
- search heuristics
- swarm intelligence
- mathematical models
- computational intelligence
- traveling salesman problem
- crossover operator
- optimization method
- web service composition
- mathematical model
- optimization algorithm
- parameter settings
- particle swarm optimization algorithm
- optimization methods
- global optimization
- genetic programming
- fuzzy logic
- support vector machine
- expert systems
- feature space
- metaheuristic