Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)

Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)

The aim of this research is to propose a self-adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. We developed Malaysian menu planning model with the objectives to optimize the budget allocation for each student, maximiz...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah
Format: Article
Language:English
Published: Pushpa Publishing House 2018
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
T Technology (General)
QA273-280 Probabilities. Mathematical statistics
Online Access:http://eprints.uthm.edu.my/4865/1/AJ%202018%20%28130%29.pdf
http://eprints.uthm.edu.my/4865/
http://dx.doi.org/10.17654/MS103010171
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tun Hussein Onn Malaysia
Language: English

Internet

http://eprints.uthm.edu.my/4865/1/AJ%202018%20%28130%29.pdf
http://eprints.uthm.edu.my/4865/
http://dx.doi.org/10.17654/MS103010171

Similar Items