Use the Power of a Genetic Algorithm to Maximize and Minimize Cases to Solve Capacity Supplying Optimization and Travelling Salesman in Nested Problems  

作　　者：Ali Abdulhafidh Ibrahim Hajar Araz Qader Nour Ai-Huda Akram Latif Ali Abdulhafidh Ibrahim;Hajar Araz Qader;Nour Ai-Huda Akram Latif(Al-Nahrain University, Baghdad, Iraq)

机构地区：[1]Al-Nahrain University, Baghdad, Iraq

出　　处：《Journal of Computer and Communications》2023年第3期24-31,共8页电脑和通信（英文）

摘　　要：Using Genetic Algorithms (GAs) is a powerful tool to get solution to large scale design optimization problems. This paper used GA to solve complicated design optimization problems in two different applications. The aims are to implement the genetic algorithm to solve these two different (nested) problems, and to get the best or optimization solutions.Using Genetic Algorithms (GAs) is a powerful tool to get solution to large scale design optimization problems. This paper used GA to solve complicated design optimization problems in two different applications. The aims are to implement the genetic algorithm to solve these two different (nested) problems, and to get the best or optimization solutions.

关 键 词：Genetic Algorithm Capacity Supplying Optimization Traveling Salesman Problem Nested Problems 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]