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Reason: Under embargo until 30 September 2023. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library.

Ant colony optimization for vehicle routing problem and inventory routing problem with backorder

thesis
posted on 2022-09-08, 11:57 authored by PUI YENG CHAN
This study focuses on developing the Population-based Ant Colony Optimization (P-ACO) by embedding three different types of mutation operators: exchanging, shifting, as well as removing and inserting to solve Split Pickup Vehicle Routing Problem (SPVRP). The SPVRP model is then extended to solve the Inventory Routing Problem with Backorder (IRPB). IRPB is a combination of VRP and Inventory - Backordering management. An adaptive inventory-backordering updating mechanism based on the pheromones values is embedded into the developed algorithm to solve IRPB. The computational experiments are done to test the efficiency of the developed algorithms.

History

Campus location

Malaysia

Principal supervisor

Lily Wong

Additional supervisor 1

Amin Talei

Additional supervisor 2

Liang Shiuan-Ni

Year of Award

2022

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Master of Engineering Science (Research)

Degree Type

RESEARCH_MASTERS

Faculty

Faculty of Engineering

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