Hybrid Genetic Algorithm Based on Novel Adaptive Penalty Function
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
The authors introduce a sort of novel adaptive penalty gene, transform the constrained problem into unconstrained problems. An solution is given for this unconstrained problem with genetic algorithm, and then it is used as initial values for the constrained variable metric method to get precise solution. The numerical experiments illustrate that this hybrid genetic algorithm is more efficient than the genetic algorithm, and at most situations globally optimal solution can be gotten.
