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...
Saved in:
Main Author: | Adnan, Sarah Hazwani |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.usm.my/59358/1/SARAH%20HAZWANI%20BINTI%20ADNAN%20-%20TESIS%20cut.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms /
by: Mirmohammadsadeghi, Seyedmehdi
Published: (2015) -
Application of meta-heuristic algorithm for solving economic dispatch problems /
by: Mohamad Rahimi Mohamed Rodzi
Published: (2016) -
Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
by: Wan Md. Hatta, Wan Ahmad Lutfi
Published: (2014) -
Hybrid multi-objective optimization methods for in silico biochemical system production
by: Mohd Arfian, Ismail
Published: (2016) -
A cross sectional study of ambulance response time using Ambulance Vehicle Locator and Global Integrating System (AVL-GIS), and the factors contributing to delayed ambulance response time at Hospital Universiti Sains Malaysia
by: Asri, Zulaili
Published: (2020)