An infeasibility degree selection based genetic algorithms for constrained optimization problems.
Shengjing MuHongye SuJian ChuYue-Xuan WangPublished in: SMC (2003)
Keyphrases
- constrained optimization problems
- constraint handling
- differential evolution
- evolutionary algorithm
- genetic algorithm
- fitness function
- penalty function
- constrained optimization
- crossover operator
- optimization problems
- augmented lagrangian
- mutation operator
- multi objective
- equality constraints
- crossover and mutation
- genetic operators
- evolutionary computation
- selection strategy
- neural network
- global convergence
- multi objective optimization
- genetic algorithm ga
- particle swarm optimization
- evolution strategy
- genetic programming
- simulated annealing
- convergence speed
- optimization method
- optimization algorithm
- particle swarm optimization pso
- premature convergence
- goal programming
- optimization methods
- traveling salesman problem
- metaheuristic
- lower bound