relation: https://khub.utp.edu.my/scholars/4045/
title: Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production
creator: Ganesan, T.
creator: Elamvazuthi, I.
creator: Ku Shaari, K.Z.
creator: Vasant, P.
description: In the chemical industry, the production of methanol, ammonia, hydrogen and higher hydrocarbons require synthesis gas (or syn gas). The main three syn gas production methods are carbon dioxide reforming (CRM), steam reforming (SRM) and partial-oxidation of methane (POM). In this work, multi-objective (MO) optimization of the combined CRM and POM was carried out. The empirical model and the MO problem formulation for this combined process were obtained from previous works. The central objectives considered in this problem are methane conversion, carbon monoxide selectivity and the hydrogen to carbon monoxide ratio. The MO nature of the problem was tackled using the Normal Boundary Intersection (NBI) method. Two techniques (Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO)) were then applied in conjunction with the NBI method. The performance of the two algorithms and the quality of the solutions were gauged by using two performance metrics. Comparative studies and results analysis were then carried out on the optimization results. © 2012 Elsevier Ltd.
publisher: Elsevier Ltd
date: 2013
type: Article
type: PeerReviewed
identifier:   Ganesan, T. and Elamvazuthi, I. and Ku Shaari, K.Z. and Vasant, P.  (2013) Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production.  Applied Energy, 103.  pp. 368-374.  ISSN 03062619     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871717797&doi=10.1016%2fj.apenergy.2012.09.059&partnerID=40&md5=737e3f094bb35fa3fa3d41dd5bf13712
relation: 10.1016/j.apenergy.2012.09.059
identifier: 10.1016/j.apenergy.2012.09.059