Universidade do Minho  

Mapa do Site
An Evolutionary-Penalty Approach for Constrained Optimization: Development and Applications

Constrained optimization is a computationally difficult task, particularly if the constraint functions are nonlinear and non-convex. As a generic classical approach, the penalty function approach is a popular methodology which degrades the objective function value by adding a penalty proportional to the constraint violation. However, the penalty function approach has been criticized for its sensitivity to the associated penalty parameters. In the present work, a combination of a bi-objective evolutionary approach with the classical penalty function methodology is proposed, in a manner complementary to each other. The evolutionary approach provides an appropriate estimate of the penalty parameter, while the solution of an unconstrained penalized function by a classical method induces a convergence property to the overall hybrid algorithm.
  © 2024 Universidade do Minho  - Termos Legais  - actualizado por CMAT Símbolo de Acessibilidade na Web D.