Genetic Algorithm with Modified Crossover for Grillage Optimization.
Mikalojus RamanauskasDmitrij SesokRimantas BeleviciusEugenijus KurilovasSaulius ValentinaviciusPublished in: Int. J. Comput. Commun. Control (2017)
Keyphrases
- genetic algorithm
- real coded
- optimization method
- evolutionary algorithm
- optimization problems
- fitness function
- parameter optimization
- genetic algorithm ga
- immune genetic algorithm
- differential evolution
- genetic programming
- multi population
- evolutionary strategy
- multi objective
- evolution strategy
- global search
- harmony search
- optimization process
- optimization algorithm
- neural network
- mutation operator
- simulated annealing
- genetic algorithm is applied
- crossover operator
- genetic operators
- candidate solutions
- evolutionary computation
- learning algorithm
- fuzzy logic
- global optimization
- artificial neural networks
- crossover and mutation
- function optimization
- population size
- particle swarm optimization
- metaheuristic
- multiple objectives
- initial population
- premature convergence
- job shop scheduling problem
- cost function
- constrained optimization
- optimization methods