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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主要作者:	Adnan, Sarah Hazwani
格式:	Thesis
语言:	English
出版:	2021
主题:	RA Public aspects of medicine
在线阅读:	http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf
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id	my-usm-ep.59358
record_format	uketd_dc
spelling	my-usm-ep.593582023-09-12T03:16:32Z Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems 2021-11 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 http://eprints.usm.my/59358/ http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Kajian Kelestarian Global (Centre for Global Sustainability Studies (CGSS))
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	RA Public aspects of medicine
spellingShingle	RA Public aspects of medicine Adnan, Sarah Hazwani Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems
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
format	Thesis
qualification_level	Master's degree
author	Adnan, Sarah Hazwani
author_facet	Adnan, Sarah Hazwani
author_sort	Adnan, Sarah Hazwani
title	Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems
title_short	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_sort	hybrid meta-heuristic algorithms for solving vehicle routing problems
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Kajian Kelestarian Global (Centre for Global Sustainability Studies (CGSS))
publishDate	2021
url	http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf
_version_	1783729540003004416

Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems

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