Flow chart of improved multi-objective artificial hummingbird algorithm.
<p>Flow chart of improved multi-objective artificial hummingbird algorithm.</p>
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2025
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| _version_ | 1852019663764979712 |
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| author | Liming Wei (2873834) |
| author2 | Fengyang Zhang (21380334) |
| author2_role | author |
| author_facet | Liming Wei (2873834) Fengyang Zhang (21380334) |
| author_role | author |
| dc.creator.none.fl_str_mv | Liming Wei (2873834) Fengyang Zhang (21380334) |
| dc.date.none.fl_str_mv | 2025-06-04T17:41:07Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0325310.g009 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Flow_chart_of_improved_multi-objective_artificial_hummingbird_algorithm_/29238922 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified three key improvements sustainable energy management simplex method integration proposed framework provides optimize individual positions operational costs compared model &# 8217 enhance distribution uniformity effectively balancing economic addressing energy utilization carbon capture technologies technically viable solution reduce carbon emissions strategy enhanced moaha integrated energy systems carbon reduction requirements carbon emissions solution quality moaha ). enhanced multi xlink "> study proposes refined two population initialization population diversity optimization precision optimal scheduling main contributions industrial parks green transition elite opposition conversion process conventional approaches |
| dc.title.none.fl_str_mv | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Flow chart of improved multi-objective artificial hummingbird algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_7ddfa950cb8a3d6079a9fa72437e7331 |
| identifier_str_mv | 10.1371/journal.pone.0325310.g009 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29238922 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Flow chart of improved multi-objective artificial hummingbird algorithm.Liming Wei (2873834)Fengyang Zhang (21380334)EcologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedthree key improvementssustainable energy managementsimplex method integrationproposed framework providesoptimize individual positionsoperational costs comparedmodel &# 8217enhance distribution uniformityeffectively balancing economicaddressing energy utilizationcarbon capture technologiestechnically viable solutionreduce carbon emissionsstrategy enhanced moahaintegrated energy systemscarbon reduction requirementscarbon emissionssolution qualitymoaha ).enhanced multixlink ">study proposesrefined twopopulation initializationpopulation diversityoptimization precisionoptimal schedulingmain contributionsindustrial parksgreen transitionelite oppositionconversion processconventional approaches<p>Flow chart of improved multi-objective artificial hummingbird algorithm.</p>2025-06-04T17:41:07ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0325310.g009https://figshare.com/articles/figure/Flow_chart_of_improved_multi-objective_artificial_hummingbird_algorithm_/29238922CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292389222025-06-04T17:41:07Z |
| spellingShingle | Flow chart of improved multi-objective artificial hummingbird algorithm. Liming Wei (2873834) Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified three key improvements sustainable energy management simplex method integration proposed framework provides optimize individual positions operational costs compared model &# 8217 enhance distribution uniformity effectively balancing economic addressing energy utilization carbon capture technologies technically viable solution reduce carbon emissions strategy enhanced moaha integrated energy systems carbon reduction requirements carbon emissions solution quality moaha ). enhanced multi xlink "> study proposes refined two population initialization population diversity optimization precision optimal scheduling main contributions industrial parks green transition elite opposition conversion process conventional approaches |
| status_str | publishedVersion |
| title | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| title_full | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| title_fullStr | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| title_full_unstemmed | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| title_short | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| title_sort | Flow chart of improved multi-objective artificial hummingbird algorithm. |
| topic | Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified three key improvements sustainable energy management simplex method integration proposed framework provides optimize individual positions operational costs compared model &# 8217 enhance distribution uniformity effectively balancing economic addressing energy utilization carbon capture technologies technically viable solution reduce carbon emissions strategy enhanced moaha integrated energy systems carbon reduction requirements carbon emissions solution quality moaha ). enhanced multi xlink "> study proposes refined two population initialization population diversity optimization precision optimal scheduling main contributions industrial parks green transition elite opposition conversion process conventional approaches |