A Meta-Heuristics Approach for the Design and Scheduling of Multipurpose Batch Plants

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The optimal design and scheduling of multipurpose batch plants is a complex task, since the design of the plant resources and the associated schedule should be undertaken together. Due to the nature and dimension of these problems, they often result into large Mixed Integer Linear Program (MILP) formulations that come associated with a high computational burden. In order to overcome this difficulty, a meta-heuristic approach, based on the Simulated Annealing (SA) methodology, is developed and tested along this paper. Sensitivity analysis is performed to the main meta-heuristic parameters. Several examples proposed by Pinto et al.(2008) are solved using the SA and the results are compared to an exact optimization approach.
Original languageUnknown
Title of host publicationComputer-Aided Chemical Engineering
EditorsS Pierucci, B Ferraris
Place of PublicationSARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
PublisherELSEVIER SCIENCE BV
Pages1315-1320
Volume28
ISBN (Print)978-0-444-53569-6
DOIs
Publication statusPublished - 1 Jan 2010
EventESCAPE20 -
Duration: 1 Jan 2010 → …

Conference

ConferenceESCAPE20
Period1/01/10 → …

Cite this

Chibeles Martins, N. (2010). A Meta-Heuristics Approach for the Design and Scheduling of Multipurpose Batch Plants. In S. Pierucci, & B. Ferraris (Eds.), Computer-Aided Chemical Engineering (Vol. 28, pp. 1315-1320). SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV. https://doi.org/10.1016/S1570-7946(10)28220-2