Details

Autor(en) / Beteiligte

• Xiaolin Yang
• Bin Zhou
• Jun Feng

Titel

A New Filled Function Method with Unconstrained Global Optimization

Ist Teil von

• 2017 13th International Conference on Computational Intelligence and Security (CIS), 2017, p.512-515

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE Xplore Digital Library

Beschreibungen/Notizen

• In this paper, we construct a new filled function method, which is continuously differentiable and including one parameter. The filled function is not sensitive to parameter, and the overflow is overcame. A new filled function algorithm is proposed. The numerical experiments show that the proposed filled function algorithm is efficient and effective.