Galoitica: Journal of Mathematical Structures and Applications
  GJMSA
  2834-5568
  
   10.54216/GJSMA
   https://www.americaspg.com/journals/show/2830
  
 
 
  
   2022
  
  
   2022
  
 
 
  
   Local Search Algorithms For Solving A Function With Five-Objectives And Release Dates on One-Machine
  
  
   Department of Mathematics, Open Educational College, Samawah, 66001 , Iraq
   
    Hussein
    Hussein
   
   Department of Mathematics, College of Sciences, University of Mustansiriyah , Baghdad, 10001 , Iraq
   
    Hanan Ali
    Chachan
   
  
  
   In this research, the issue of scheduling n-jobs on one-machine is represented to minimize Five-Objectives-Function (FOF), for finding approximation solutions for the sum of completion time, total tardiness, total earliness, number of late jobs and late work with release date, this issue denoted by:                       Hanan and Hussein used a branch and bound technique (B-a-B) to discovery an optimal solution path. Computational results showed the (B-a-B) technique was efficient in solving issues with up to (16- jobs). Because our issue is of a very difficult type (NP-hard), we suggest local search algorithms to discovery near optimal solution.  The execution of local search techniques can be tested on large group of test issues. Computational results showed with up to (30000 jobs) in acceptable time.
  
  
   2024
  
  
   2024
  
  
   44
   51
  
  
   10.54216/GJMSA.0100204
   https://www.americaspg.com/articleinfo/33/show/2830