Multi-objective Bonobo optimisers of industrial low-density polyethylene reactor
A multi-objective optimization (MOO) technique to produce a low-density polyethylene (LDPE) is applied to address these two problems: increasing conversion and reducing operating cost (as the first optimization problem, P1) and increasing productivity and reducing operating cost (as the second optim...
Published in: | CHEMICAL PRODUCT AND PROCESS MODELING |
---|---|
Main Authors: | Rohman, Fakhrony Sholahudin; Alwi, Sharifah Rafidah Wan; Muhammad, Dinie; Zahan, Khairul Azly; Murat, Muhamad Nazri; Azmi, Ashraf |
Format: | Article; Early Access |
Language: | English |
Published: |
WALTER DE GRUYTER GMBH
2024
|
Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001280385900001 |
Similar Items
-
Multi-objective Bonobo optimisers of industrial low-density polyethylene reactor
by: Rohman F.S.; Wan Alwi S.R.; Muhammad D.; Zahan K.A.; Murat M.N.; Azmi A.
Published: (2024) -
Nonlinear model predictive controller of hydrogenation of dimethyl oxalate for ethylene glycol production
by: Rohman, et al.
Published: (2024) -
Stochastic-Based Optimization Strategy of Dimethyl Oxalate Hydrogenation for Ethylene Glycol Production
by: Rohman, et al.
Published: (2024) -
Artificial Hummingbird-Based Optimisation with Advanced Crowding Distance of Energy Reduction in the Polyethylene Reactors
by: Rohman F.S.; Alwi S.R.W.; Muhammad D.; Idris I.; Zahan K.A.; Murat M.N.; Azmi A.
Published: (2024) -
Ant lion based optimization for performance improvement of methanol production
by: Ariff, et al.
Published: (2024)