Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems

Adnan, Sarah Hazwani (2021) Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems. Masters thesis, Universiti Sains Malaysia.

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Abstract

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

Item Type: Thesis (Masters)
Subjects: R Medicine > RA Public aspects of medicine
Divisions: Pusat Kajian Kelestarian Global (Centre for Global Sustainability Studies (CGSS)) > Thesis
Pusat Kajian Kelestarian Global (Centre for Global Sustainability Studies (CGSS)) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 12 Sep 2023 03:16
Last Modified: 12 Sep 2023 03:16
URI: http://eprints.usm.my/id/eprint/59358

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