Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm

Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm

This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems...

Full description

Bibliographic Details
Main Authors: Mohd Arfian, Ismail, Mezhuyev, Vitaliy, Kohbalan, Moorthy, Shahreen, Kasim, Ashraf Osman, Ibrahim
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/1/04%205sept%208554%20LATEX%20Optimisation.pdf
id ump-20025
recordtype eprints
spelling ump-200252018-02-27T00:58:26Z http://umpir.ump.edu.my/id/eprint/20025/ Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm Mohd Arfian, Ismail Mezhuyev, Vitaliy Kohbalan, Moorthy Shahreen, Kasim Ashraf Osman, Ibrahim QA75 Electronic computers. Computer science This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems pro- duction and simultaneously minimising the total amount of chemical reaction concentration involves. Besides that, the size of biochemical systems also contributed to the problem in optimising the biochemical systems production. In the proposed method, the Newton method is used in dealing biochemical system, DE for opti- misation process while CCA is used to increase the performance of DE. In order to evaluate the performance of the proposed method, the proposed method is tested on two benchmark biochemical systems. Then, the result that obtained by the proposed method is compare with other works and the finding shows that the proposed method performs well compare to the other works. Institute of Advanced Engineering and Science 2017-10-01 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/20025/1/04%205sept%208554%20LATEX%20Optimisation.pdf Mohd Arfian, Ismail and Mezhuyev, Vitaliy and Kohbalan, Moorthy and Shahreen, Kasim and Ashraf Osman, Ibrahim (2017) Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 8 (1). pp. 27-35. ISSN 2502-4752 http://www.iaesjournal.com/online/index.php/IJEECS/article/view/16849 10.11591/ijeecs.v8.i1.pp27-35
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd Arfian, Ismail
Mezhuyev, Vitaliy
Kohbalan, Moorthy
Shahreen, Kasim
Ashraf Osman, Ibrahim
Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
description This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems pro- duction and simultaneously minimising the total amount of chemical reaction concentration involves. Besides that, the size of biochemical systems also contributed to the problem in optimising the biochemical systems production. In the proposed method, the Newton method is used in dealing biochemical system, DE for opti- misation process while CCA is used to increase the performance of DE. In order to evaluate the performance of the proposed method, the proposed method is tested on two benchmark biochemical systems. Then, the result that obtained by the proposed method is compare with other works and the finding shows that the proposed method performs well compare to the other works.
format Article
author Mohd Arfian, Ismail
Mezhuyev, Vitaliy
Kohbalan, Moorthy
Shahreen, Kasim
Ashraf Osman, Ibrahim
author_facet Mohd Arfian, Ismail
Mezhuyev, Vitaliy
Kohbalan, Moorthy
Shahreen, Kasim
Ashraf Osman, Ibrahim
author_sort Mohd Arfian, Ismail
title Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
title_short Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
title_full Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
title_fullStr Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
title_full_unstemmed Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm
title_sort optimisation of biochemical systems production using hybrid of newton method, differential evolution algorithm and cooperative coevolution algorithm
publisher Institute of Advanced Engineering and Science
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/
http://umpir.ump.edu.my/id/eprint/20025/1/04%205sept%208554%20LATEX%20Optimisation.pdf
first_indexed 2023-09-18T22:28:41Z
last_indexed 2023-09-18T22:28:41Z
_version_ 1777416139536596992

Similar Items