Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Adnan, Sarah Hazwani
Format: Thesis
Language:English
Published: 2021
Subjects:
RA Public aspects of medicine
Online Access:http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf
http://eprints.usm.my/59358/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.59358
record_format eprints
spelling my.usm.eprints.59358 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.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2021
url http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf
http://eprints.usm.my/59358/
_version_ 1778162349234978816
score 13.211869

Similar Items