Constrained optimization by constrained genetic algorithm (alpha GA).
Tetsuyuki TakahamaSetsuko SakaiPublished in: Systems and Computers in Japan (2004)
Keyphrases
- constrained optimization
- genetic algorithm
- penalty function
- population based incremental learning
- lagrange multiplier method
- lagrange multipliers
- genetic algorithm ga
- constraint handling
- fitness function
- constrained optimization problems
- evolutionary strategy
- objective function
- hard constraints
- augmented lagrangian
- genetic operators
- unconstrained optimization
- evolutionary algorithm
- penalty functions
- messy genetic algorithm
- neural network
- mutation operator
- multi objective
- immune genetic algorithm
- artificial neural networks
- genetic algorithm is employed
- iterative methods
- interval analysis
- inequality constraints
- genetic programming
- population size
- hybrid ga
- parallel genetic algorithm
- metaheuristic
- selection operator
- crossover and mutation
- evolutionary computation
- hybrid algorithm
- simulated annealing
- crossover operator
- tabu search
- hybrid genetic algorithm
- multi objective optimization
- global search