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...

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Main Author: Abou Doush, Iyad (author)
Published: 2022
Online Access:https://dspace.auk.edu.kw/handle/11675/9622
https://doi.org/10.1007/s10586-022-03675-3
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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