A hybrid genetic algorithm for constrained optimization problems in mechanical engineering.
Heder S. BernardinoHelio J. C. BarbosaAfonso C. C. LemongePublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- mechanical engineering
- constrained optimization problems
- crossover operator
- evolutionary algorithm
- constraint handling
- constrained optimization
- differential evolution
- hybrid genetic algorithm
- optimization problems
- penalty function
- augmented lagrangian
- fitness function
- mutation operator
- genetic algorithm
- traveling salesman problem
- genetic algorithm ga
- equality constraints
- multi objective
- global convergence
- simulated annealing
- genetic programming
- convergence speed
- global optimization
- benchmark problems
- combinatorial optimization
- cost function
- artificial neural networks