Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems
Therefore, a heuristic approach which integrates Fully Informed Particle Swarm (FIPS) with Self-Adaptive Differential Evolution (SaDE) is proposed, namely FIPSaDE. The development of a systematic fleet scheduling system will not only minimize the possible wastage in terms of time and cost; but will...
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| 格式: | Thesis |
| 語言: | 英语 |
| 出版: |
2021
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| 在線閱讀: | http://eprints.usm.my/59358/ |
| Abstract | Abstract here |
| _version_ | 1855633002377248768 |
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| author | Adnan, Sarah Hazwani |
| author_facet | Adnan, Sarah Hazwani |
| author_sort | Adnan, Sarah Hazwani |
| description | Therefore, a heuristic approach which integrates Fully Informed Particle Swarm (FIPS) with Self-Adaptive Differential Evolution (SaDE) is proposed, namely FIPSaDE. The development of a systematic fleet scheduling system will not only minimize the possible wastage in terms of time and cost; but will also smooth the operations of logistic distribution and helps in managing and achieving long-term resource sustainability |
| first_indexed | 2025-10-17T08:45:59Z |
| format | Thesis |
| id | usm-59358 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:45:59Z |
| publishDate | 2021 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | usm-593582023-09-12T03:16:32Z http://eprints.usm.my/59358/ Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems Adnan, Sarah Hazwani RA Public aspects of medicine Therefore, a heuristic approach which integrates Fully Informed Particle Swarm (FIPS) with Self-Adaptive Differential Evolution (SaDE) is proposed, namely FIPSaDE. The development of a systematic fleet scheduling system will not only minimize the possible wastage in terms of time and cost; but will also smooth the operations of logistic distribution and helps in managing and achieving long-term resource sustainability 2021-11 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf Adnan, Sarah Hazwani (2021) Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | RA Public aspects of medicine Adnan, Sarah Hazwani Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| thesis_level | Master |
| title | Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| title_full | Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| title_fullStr | Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| title_full_unstemmed | Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| title_short | Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems |
| title_sort | hybrid meta heuristic algorithms for solving vehicle routing problems |
| topic | RA Public aspects of medicine |
| url | http://eprints.usm.my/59358/ |
| work_keys_str_mv | AT adnansarahhazwani hybridmetaheuristicalgorithmsforsolvingvehicleroutingproblems |