Visual representation of ranks of algorithms with PM mutation.
<p>Visual representation of ranks of algorithms with PM mutation.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852019715455582208 |
|---|---|
| author | Jalal- ud-Din (21474307) |
| author2 | Ehtasham-ul- Haq (21474310) Mohammed M. A. Almazah (20454979) Mhassen E. E. Dalam (21474313) Ishfaq Ahmad (4245517) |
| author2_role | author author author author |
| author_facet | Jalal- ud-Din (21474307) Ehtasham-ul- Haq (21474310) Mohammed M. A. Almazah (20454979) Mhassen E. E. Dalam (21474313) Ishfaq Ahmad (4245517) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jalal- ud-Din (21474307) Ehtasham-ul- Haq (21474310) Mohammed M. A. Almazah (20454979) Mhassen E. E. Dalam (21474313) Ishfaq Ahmad (4245517) |
| dc.date.none.fl_str_mv | 2025-06-03T17:41:07Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324198.g010 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Visual_representation_of_ranks_of_algorithms_with_PM_mutation_/29227729 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Molecular Biology Biotechnology Evolutionary Biology Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified extremely restricted situations different complexity levels criteria topsis method coded crossover operators based rayleigh crossover based gumbel crossover proposed crossover operator constrained benchmark functions topsis </ p mixture distribution models coded genetic algorithms genetic algorithms testing constrained proposed parent xlink "> quade test pi ), performance index named mixture mrrx ), ideal balance empirical results comparative analysis 36 cases |
| dc.title.none.fl_str_mv | Visual representation of ranks of algorithms with PM mutation. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Visual representation of ranks of algorithms with PM mutation.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_245ec72dff5ef1ebe2b77a728fcd8b09 |
| identifier_str_mv | 10.1371/journal.pone.0324198.g010 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29227729 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Visual representation of ranks of algorithms with PM mutation.Jalal- ud-Din (21474307)Ehtasham-ul- Haq (21474310)Mohammed M. A. Almazah (20454979)Mhassen E. E. Dalam (21474313)Ishfaq Ahmad (4245517)BiophysicsMolecular BiologyBiotechnologyEvolutionary BiologyMental HealthSpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedextremely restricted situationsdifferent complexity levelscriteria topsis methodcoded crossover operatorsbased rayleigh crossoverbased gumbel crossoverproposed crossover operatorconstrained benchmark functionstopsis </ pmixture distribution modelscoded genetic algorithmsgenetic algorithmstesting constrainedproposed parentxlink ">quade testpi ),performance indexnamed mixturemrrx ),ideal balanceempirical resultscomparative analysis36 cases<p>Visual representation of ranks of algorithms with PM mutation.</p>2025-06-03T17:41:07ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324198.g010https://figshare.com/articles/figure/Visual_representation_of_ranks_of_algorithms_with_PM_mutation_/29227729CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292277292025-06-03T17:41:07Z |
| spellingShingle | Visual representation of ranks of algorithms with PM mutation. Jalal- ud-Din (21474307) Biophysics Molecular Biology Biotechnology Evolutionary Biology Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified extremely restricted situations different complexity levels criteria topsis method coded crossover operators based rayleigh crossover based gumbel crossover proposed crossover operator constrained benchmark functions topsis </ p mixture distribution models coded genetic algorithms genetic algorithms testing constrained proposed parent xlink "> quade test pi ), performance index named mixture mrrx ), ideal balance empirical results comparative analysis 36 cases |
| status_str | publishedVersion |
| title | Visual representation of ranks of algorithms with PM mutation. |
| title_full | Visual representation of ranks of algorithms with PM mutation. |
| title_fullStr | Visual representation of ranks of algorithms with PM mutation. |
| title_full_unstemmed | Visual representation of ranks of algorithms with PM mutation. |
| title_short | Visual representation of ranks of algorithms with PM mutation. |
| title_sort | Visual representation of ranks of algorithms with PM mutation. |
| topic | Biophysics Molecular Biology Biotechnology Evolutionary Biology Mental Health Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified extremely restricted situations different complexity levels criteria topsis method coded crossover operators based rayleigh crossover based gumbel crossover proposed crossover operator constrained benchmark functions topsis </ p mixture distribution models coded genetic algorithms genetic algorithms testing constrained proposed parent xlink "> quade test pi ), performance index named mixture mrrx ), ideal balance empirical results comparative analysis 36 cases |