TITLE:
Use the Power of a Genetic Algorithm to Maximize and Minimize Cases to Solve Capacity Supplying Optimization and Travelling Salesman in Nested Problems
AUTHORS:
Ali Abdulhafidh Ibrahim, Hajar Araz Qader, Nour Ai-Huda Akram Latif
KEYWORDS:
Genetic Algorithm, Capacity Supplying Optimization, Traveling Salesman Problem, Nested Problems
JOURNAL NAME:
Journal of Computer and Communications,
Vol.11 No.3,
March
29,
2023
ABSTRACT: 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.