A Hybrid Approach for Constraint Handling in MINLP Optimization Using Stochastic Algorithms

Durand, Guillermo Andrés; Blanco, A. M.; Sanchez, M. C.; Bandoni, Jose Alberto

info:eu-repo/semantics/publishedVersion

Fecha

2010

Registro en:

Durand, Guillermo Andrés; Blanco, A. M.; Sanchez, M. C.; Bandoni, Jose Alberto; A Hybrid Approach for Constraint Handling in MINLP Optimization Using Stochastic Algorithms; World Scientific; 2; 2010; 353-374

978-981-4299-20-6

2425-0198

http://hdl.handle.net/11336/116158

CONICET Digital

CONICET

https://repositorioslatinoamericanos.uchile.cl/handle/2250/4396194

Autor

Durand, Guillermo Andrés

Blanco, A. M.

Sanchez, M. C.

Bandoni, Jose Alberto

Institución

Consejo Nacional de Investigaciones Científicas y Tecnológicas (Argentina)

Resumen

Global optimization deals with the calculation and characterization of global extrema of functions. Due to its outstanding importance in applied mathematics to science, an overwhelming amount of theoretical and computational contributions, categorized into deterministic and stochastic approaches, has been produced in the last decades...

Materias

STOCHASTIC OPTIMIZATION

MIXED INTEGER PROGRAMMING

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