On a smoothed penalty-based algorithm for global optimization

This paper presents a coercive smoothed penalty framework for nonsmooth and nonconvex constrained global optimization problems. The properties of the smoothed penalty function are derived. Convergence to an ε -global minimizer is proved. At each iteration k, the framework requires the ε(k) -global m...

Full description

Bibliographic Details
Main Author: Rocha, Ana Maria A. C. (author)
Other Authors: Costa, M. Fernanda P. (author), Fernandes, Edite Manuela da G. P. (author)
Format: article
Language:eng
Published: 2017
Subjects:
Global optimization
Penalty function
Artificial fish swarm
Markov chains
Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Science & Technology
Online Access:http://hdl.handle.net/1822/49539
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/49539

Internet

http://hdl.handle.net/1822/49539

Similar Items