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

• المؤلفون الرئيسيون: Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah
• التنسيق: مقال
• اللغة: English
• منشور في: Pushpa Publishing House 2018
• الموضوعات: QA Mathematics; QA75 Electronic computers. Computer science; T Technology (General); QA273-280 Probabilities. Mathematical statistics
• الوصول للمادة أونلاين: 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

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...