شماره ركورد كنفرانس :
5286
عنوان مقاله :
Evolutionary Software Product Lines: A Knapsack Problem Perspective
پديدآورندگان :
Ghasemzadeh Arash ghasemzadehh.arash@gmail.com Department of Computer Engineering, Faculty of Technology and Engineering East of Guilan, University of Guilan, Rasht, Iran , Hesam Mohseni Abdorreza abdorreza.hesam.mohseni@gmail.com Department of Computer Engineering, Faculty of Technology and Engineering East of Guilan, University of Guilan, Rasht, Iran
كليدواژه :
SPL , Knapsack Problem , Genetic Algorithm , Optimization , Customized Products
عنوان كنفرانس :
پنجمين كنفرانس بينالمللي محاسبات نرم
چكيده فارسي :
In this article, we explore a method to create state-of-the-art customized products using a genetic algorithm. We focus on solving a classic optimization problem called the Knapsack problem, aiming to find the perfect combination of components for our desired product. By employing genetic algorithms, which mimic natural selection and genetic variation, we navigate through different possibilities to discover the ideal product configuration. Ultimately, our goal is to achieve the most efficient and effective product customization process, driving innovation and progress in manufacturing and related fields.
