Parameter control in Differential Evolution for constrained optimization

In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adaptive parameter control in two of the Differential Evolution parameters and also in two parameters related with the constraint-handling mechanism. The proposed approach is extensively tested by using a set of well-known test problems and performance measures found in the specialized literature. Besides analyzing the final results obtained by the algorithm with respect to its original version, some interesting findings regarding the behavior found in the approach and in the values observed on each of the parameters controlled are also discussed.

• Type: Conference
• Year: 2009
• Where: CEC
• Authors: Efrén Mezura-Montes, A. G. Palomeque-Ortiz
• Keywords: Artificial Intelligence, CEC 2009, Constrained Optimization Problems, Parameters, Self-adaptive Parameter Control