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

• 主要な著者: Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku-Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah
• フォーマット: 論文
• 出版事項: Pushpa Publishing House 2018
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://repo.uum.edu.my/27873/; http://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...