An adaptive penalty scheme in genetic algorithms for constrained optimization problems
Hélio J. C. Barbosa · 2013
A parameter-less adaptive penalty scheme for genetic algorithms applied to constrained optimization problems is proposed. Besides being simple, adaptive and not requiring any parameter, it provides a different penalty parameter for each constraint. The performance of this new scheme is examined using several test-problems from the evolutionary computation literature.