Multi-Population Genetic Algorithm for Rich Vehicle Routing Problems
Genetic algorithm (GA) is a metaheuristic method that has been widely adopted for solving the Rich Vehicle Routing Problems (RVRP) due to its ability to find quality approximate solutions, even for large-scale instances of the problem, in a reasonable time. However, GA is stochastic in nature and do...
Saved in:
Main Authors: | Agany Manyiel, J.M., Kwang Hooi, Y., Zakaria, M.N.B. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112464766&doi=10.1109%2fICCOINS49721.2021.9497136&partnerID=40&md5=54bef794176e6bb186b8db8dd38c147d http://eprints.utp.edu.my/30344/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-population Genetic Algorithm for Rich
Vehicle Routing Problems
by: Agany Manyiel, Joseph Mabor
Published: (2020) -
Using genetic algorithm in implementing capacitated vehicle routing problem
by: Mohammed, M.A., et al.
Published: (2017) -
Using genetic algorithm in implementing capacitated vehicle routing problem
by: Mohammed M.A., et al.
Published: (2023) -
Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows
by: Zakaria, M.N.
Published: (2017) -
Stochastic partially optimized cyclic shift crossover for multi-objective genetic algorithms for the vehicle routing problem with time-windows
by: Pierre, D.M., et al.
Published: (2017)