Article ID: | iaor20002999 |
Country: | United States |
Volume: | 7 |
Issue: | 1 |
Start Page Number: | 19 |
End Page Number: | 44 |
Publication Date: | Mar 1999 |
Journal: | Evolutionary Computation |
Authors: | Michalewicz Zbigniew, Koziel Slawomir |
Keywords: | genetic algorithms |
During the last five years, several methods have been proposed for handling nonlinear constraints using evolutionary algorithms for numerical optimization problems. Recent survey papers classify these methods into four categories: preservation of feasibility, penalty functions, searching for feasibility, and other hybrids. In this paper we investigate a new approach for solving constrained numerical optimization problems which incorporates a homomorphous mapping between