Design of multipurpose batch chemical plants using a genetic algorithm

Autor:	Luc Pibouleau, Serge Domenech, Leonardo Bernal-Haro, Catherine Azzaro-Pantel
Rok vydání:	1998
Předmět:	Optimal design Engineering Mathematical optimization Job shop business.industry General Chemical Engineering Scheduling (production processes) Chemical plant Stochastic programming Computer Science Applications Genetic algorithm Discrete event simulation business Batch production Simulation
Zdroj:	Computers & Chemical Engineering. 22:S777-S780
ISSN:	0098-1354
DOI:	10.1016/s0098-1354(98)00146-x
Popis:	In this paper, we introduce the development and implementation of a Genetic Algorithm for the preliminary design of a multipurpose chemical batch plant. A two-stage approach combining a Discrete Event Simulation Model (D.E.S. model) and a Genetic Algorithm (G.A.) for optimal design is proposed. The goal is to minimise equipment investment cost for a fixed product slate and production level.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::99930c8d6cf47aa8e6e011530c21eea0 https://doi.org/10.1016/s0098-1354(98)00146-x Zobrazit plný text záznamu Full Text from ScienceDirect