A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem
In this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling Problem (AESP). The proposed LMGWO is utilized by combining the MGWO searching mechanism with a novel strategy, called neighbourhoo...
Saved in:
| Main Author: | |
|---|---|
| Published: |
2022
|
| Online Access: | https://dspace.auk.edu.kw/handle/11675/9622 https://doi.org/10.1007/s10586-022-03675-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1870679732641595394 |
|---|---|
| author | Abou Doush, Iyad |
| author_facet | Abou Doush, Iyad |
| author_role | author |
| dc.contributor.none.fl_str_mv | Mohammed Azmi Al-Betar; Mohammed Awadallah; Sharif Naser Makhadmeh; Osama Alomari; Zaid Abdi Alkareem Alyasseri; Ammar Kamal Abasi |
| dc.creator.none.fl_str_mv | Abou Doush, Iyad |
| dc.date.none.fl_str_mv | 2022-07-22 2023-04-09T10:32:28Z 2023-04-09T10:32:28Z |
| dc.identifier.none.fl_str_mv | Makhadmeh, S. N., Abasi, A. K., Al-Betar, M. A., Awadallah, M. A., Doush, I. A., Alyasseri, Z. A. A., & Alomari, O. A. (2022). A novel link-based multi-objective grey wolf optimizer for appliances energy scheduling problem. Cluster Computing, 25(6), 4355-4382. https://doi.org/10.1007/s10586-022-03675-3 https://dspace.auk.edu.kw/handle/11675/9622 https://doi.org/10.1007/s10586-022-03675-3 |
| dc.publisher.none.fl_str_mv | Cluster Computing |
| dc.relation.none.fl_str_mv | College of Engineering & Applied Sciences |
| dc.title.none.fl_str_mv | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| dc.type.none.fl_str_mv | Peer Reviewed Journal Article info:eu-repo/semantics/publishedVersion |
| description | In this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling Problem (AESP). The proposed LMGWO is utilized by combining the MGWO searching mechanism with a novel strategy, called neighbourhood selection strategy, to improve local exploitation capabilities. AESP is a problem that can be tackled by searching for the best appliances schedule according to a set of constraints and a dynamic pricing scheme(s) utilized for optimizing energy consumed at a particular period. Three objectives are considered to handle AESP: improving user comfort while reducing electricity bills and maintaining power systems performance. Therefore, AESP is modelled as a multi-objective optimization problem to handle all objectives simultaneously. In the evaluation results, the LMGWO is tested using a new dataset containing 30 power consumption scenarios with up to 36 appliances. For comparative purposes, the same linked-based neighbourhood selection strategy is utilized with other three optimization algorithms, including particle swarm optimization, salp swarm optimization, and wind-driven algorithm. The performance of the modified versions is compared with each other and that of the original versions to show their improvements. Furthermore, the proposed LMGWO is compared with eight state-of-the-art methods using their recommended datasets to show the viability of the proposed LMGWO. Interestingly, the proposed LMGWO is able to outperform the compared methods in almost all produced results. |
| id | AUKR_94543e7474bf5e0b4e6a5e7acf3604eb |
| identifier_str_mv | Makhadmeh, S. N., Abasi, A. K., Al-Betar, M. A., Awadallah, M. A., Doush, I. A., Alyasseri, Z. A. A., & Alomari, O. A. (2022). A novel link-based multi-objective grey wolf optimizer for appliances energy scheduling problem. Cluster Computing, 25(6), 4355-4382. https://doi.org/10.1007/s10586-022-03675-3 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/9622 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Cluster Computing |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling ProblemAbou Doush, IyadIn this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling Problem (AESP). The proposed LMGWO is utilized by combining the MGWO searching mechanism with a novel strategy, called neighbourhood selection strategy, to improve local exploitation capabilities. AESP is a problem that can be tackled by searching for the best appliances schedule according to a set of constraints and a dynamic pricing scheme(s) utilized for optimizing energy consumed at a particular period. Three objectives are considered to handle AESP: improving user comfort while reducing electricity bills and maintaining power systems performance. Therefore, AESP is modelled as a multi-objective optimization problem to handle all objectives simultaneously. In the evaluation results, the LMGWO is tested using a new dataset containing 30 power consumption scenarios with up to 36 appliances. For comparative purposes, the same linked-based neighbourhood selection strategy is utilized with other three optimization algorithms, including particle swarm optimization, salp swarm optimization, and wind-driven algorithm. The performance of the modified versions is compared with each other and that of the original versions to show their improvements. Furthermore, the proposed LMGWO is compared with eight state-of-the-art methods using their recommended datasets to show the viability of the proposed LMGWO. Interestingly, the proposed LMGWO is able to outperform the compared methods in almost all produced results.Cluster ComputingMohammed Azmi Al-Betar; Mohammed Awadallah; Sharif Naser Makhadmeh; Osama Alomari; Zaid Abdi Alkareem Alyasseri; Ammar Kamal Abasi2023-04-09T10:32:28Z2023-04-09T10:32:28Z2022-07-22Peer ReviewedJournal Articleinfo:eu-repo/semantics/publishedVersionMakhadmeh, S. N., Abasi, A. K., Al-Betar, M. A., Awadallah, M. A., Doush, I. A., Alyasseri, Z. A. A., & Alomari, O. A. (2022). A novel link-based multi-objective grey wolf optimizer for appliances energy scheduling problem. Cluster Computing, 25(6), 4355-4382. https://doi.org/10.1007/s10586-022-03675-3https://dspace.auk.edu.kw/handle/11675/9622https://doi.org/10.1007/s10586-022-03675-3College of Engineering & Applied Sciencesoai:dspace.auk.edu.kw:11675/96222023-04-09T10:32:28Z |
| spellingShingle | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem Abou Doush, Iyad |
| status_str | publishedVersion |
| title | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| title_full | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| title_fullStr | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| title_full_unstemmed | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| title_short | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| title_sort | A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem |
| url | https://dspace.auk.edu.kw/handle/11675/9622 https://doi.org/10.1007/s10586-022-03675-3 |