Multilocal programming and applications

• Autor(es): Pereira, A. I. ; Ferreira, O. ; Pinho, S. P. ; Fernandes, Edite Manuela da G. P.
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/1822/27237
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Multilocal programming; Stochastic method; Deterministic method; Penalty techniques; Engineering process design
• Tipo de Documento: Parte ou capítulo de livro
• Idioma: Inglês

Descrição

Preprint version Multilocal programming aims to identify all local minimizers of unconstrained or constrained nonlinear optimization problems. The multilocal programming theory relies on global optimization strategies combined with simple ideas that are inspired in deflection or stretching techniques to avoid convergence to the already detected local minimizers. The most used methods to solve this type of problems are based on stochastic procedures and a population of solutions. In general, population-based methods are computationally expensive but rather reliable in identifying all local solutions. In this chapter, a review on recent techniques for multilocal programming is presented. Some real-world multilocal programming problems based on chemical engineering process design applications are described.