Heuristic Approaches for Experimentation in Catalyst Optimization

Presented at the INFORMS Annual Meeting Denver

9 Pages Posted: 5 Dec 2008

See all articles by Edgar Possani

Edgar Possani

Instituto Tecnológico Autónomo de México (ITAM)

Date Written: 2004

Abstract

In this paper we give an overview of algorithms developed to aid catalyst optimization at the Mexican Institute of Petroleum. We present a methodology that uses an evolutionary approach and ideas from tabu search and simulated annealing to guide the search for optimum catalytic materials based on previous experimentation. We give results on butane isomerization in ZrO2/Al2O3, and compare the approach with other theoretical models. The method leads to higher efficiency and reduction in the number of tested materials.

Keywords: Heuristic, Optimization, Experimental Design, Catalysis

JEL Classification: C61, L65, C90, C88

Suggested Citation

Possani, Edgar, Heuristic Approaches for Experimentation in Catalyst Optimization (2004). Presented at the INFORMS Annual Meeting Denver, Available at SSRN: https://ssrn.com/abstract=1311006 or http://dx.doi.org/10.2139/ssrn.1311006

Edgar Possani (Contact Author)

Instituto Tecnológico Autónomo de México (ITAM) ( email )

Rio Hondo No. 1
Progreso Tizapan
Mexico City, D.F., 01080
Mexico
52 55 56284000 (Phone)

HOME PAGE: http://www.matematicas.itam.mx/

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