A shifted hyperbolic augmented Lagrangian-based artificial fish two swarm algorithm with guaranteed convergence for constrained global optimization
This article presents a shifted hyperbolic penalty function and proposes an augmented Lagrangian-based algorithm for non-convex constrained global optimization problems. Convergence to an ε-global minimizer is proved. At each iteration k, the algorithm requires the ε(k)-global minimization of a boun...
Main Author: | |
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Other Authors: | , |
Format: | article |
Language: | eng |
Published: |
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/42943 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/42943 |