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Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems

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dc.contributor.authorSarah Hazwani Binti Adnan
dc.date.accessioned2023-09-12T03:19:09Z
dc.date.available2023-09-12T03:19:09Z
dc.date.issued2021-11
dc.description.abstractTherefore, 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.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/17531
dc.subjectHybrid Meta-Heuristic Algorithms
dc.subjectSolving Vehicle Routing Problems
dc.titleHybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems
dc.typeResource Types::text::thesis::master thesis
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
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