TY  - JOUR
T1  - A Review of Genetic Algorithm Applications in Solving Vehicle Routing Problem
AU - Abed Mohammed, Mazin AU - Khanapi Abd Ghani, Mohd AU - Ibrahim Obaid, Omar AU - A. Mostafa, Salama AU - Sharifuddin Ahmad, Mohd AU - Ahmed Ibrahim, Dheyaa AU - Burhanuddin, M.A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 16
SP  - 4267
EP  - 4283
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.4267.4283
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.4267.4283
KW  - Vehicle Routing Problem (VRP)
KW  -Capacitated Vehicle Routing Problem (CVRP)
KW  -genetic algorithm
KW  -Evolutionary Algorithm (EA)
KW  -optimization
KW  - recent work
AB  - Vehicle Routing Problem (VRP) has been considered as an important part in logistics dealing. Thus,
an appropriate chosen of vehicle routing plays a considerable factor to improve the economic interests and
suitability of logistics projects. In this study, we review the recent work in one of the most traditional problems
in logistics which is the VRP. The study manifests the objective of providing a clear and detailed discussion
on applying genetic algorithm to the VRP to be optimally solved. It further presents many examples of applying
genetic algorithm in finding optimal solutions to the VRP.
ER  -