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Zhang, J.Y., Qi, P.Y. and Wang, J.K. (2023) Multi-Objective Genetic Algorithm for Synchrotron Radiation Beamline Optimization. Journal of Synchrotron Radiation, 30, 51-56.
https://doi.org/10.1107/S1600577522010050

has been cited by the following article:

• 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.