A dynamical evolutionary algorithm for constrained optimization problems
Xiufen Zou, Lishan S. Kang, Yuanxiang Li · 2003
In this paper, we present an effective dynamical evolutionary algorithm (DEA) to handle constrained optimization problems. The novelty of DEA is that we design a new select mechanism based on the principle of energy minimization of statistical mechanics. The algorithm has been evaluated numerically using several benchmark problems. The numerical results show our approach is superior to any other published results known by the authors.