Impact of selection GA parameters on the quality solution in solving the flow shop scheduling problems

Faculty Engineering Year: 2015
Type of Publication: ZU Hosted Pages:
Authors:
Journal: EJEST ZAGAZIG University Volume: 18
Keywords : Impact , selection , , , parameters , , quality solution , solving    
Abstract:
a comprehensive study is done, to verify the GA operators as crossover, mutation, selection, etc. to study the effect on the quality of solution . the type of problems is maintained on the flow shop scheduling problems.
   
     
 
       

Author Related Publications

  • Adel Abdelmoaz, "Layout Designs In Cellular Manufacturing", The 8th International Conference of Al-Azhar University, 2004 More
  • Adel Abdelmoaz, "Impact of neighborhood search of simulation annealing algorithm on solving job shop scheduling problem with sequence dependent setup times", EJEST, 2016 More
  • Adel Abdelmoaz, "An Effective Genetic Algorithm for Capacitated Vehicle Routing Problem", 8th international conference on Industrial Engineering and Operations Management; Indonesia, 2018 More
  • Adel Abdelmoaz, "The effect of the AIDC on developing lean manufacturing (a case study)", International Conference on Computers and Industrial Engineering, Alexandria, EGYPT, 2007 More
  • Adel Abdelmoaz, "Improve six-sigma management by forecasting production quantity using image verification quality tool", International journal of advances in engineering and technology, 2011 More

Department Related Publications

  • Ahmed Mohamed Elsayed Abdelwahab Abied, "Analytical Modelling of Cillia-Driven Prandtle Fluid Flow in a Horizontal Tube with Viscous Dissipation using Homotopy Perturbation Method.", ELSEVIER, 2025 More
  • Sarah Atif Abdulaziz Ali , "A Comparative Study Using Deep Learning and Support Vector Regression for Electricity Price Forecasting in Smart Grids", IEEE, 2019 More
  • Mostafa Abdelsalam Musstafa, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022 More
  • Rafat Hessien Elsayed Elshaer, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022 More
  • Noha Ahmed Ali Mostafa, "IoT-Cloud Based System for Warehouse Management: A Conceptual Framework", IEEE Xplore, 2025 More
Tweet