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Algorithms for Investment Project Distribution on Regions.

Mafawez Alharbi1, Mahdi Jemmali1,2

  • 1Department of Computer Science and Information, College of Science at Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces an optimization system to solve an NP-hard problem of investment project distribution. New algorithms and heuristics minimize maximum job creation across industrial regions, providing an efficient solution.

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Area of Science:

  • Operations Research
  • Industrial Engineering
  • Computational Economics

Background:

  • Investment project distribution is a complex optimization challenge.
  • NP-hard problems require advanced algorithmic approaches for effective solutions.
  • Equitable distribution across regions with similar characteristics is a key consideration.

Purpose of the Study:

  • To develop an optimization system for assigning investment projects across industrial regions.
  • To minimize the maximum total number of newly created jobs resulting from project distribution.
  • To address the NP-hard nature of project allocation problems.

Main Methods:

  • Application of novel scheduling algorithms for optimization.
  • Development of heuristic algorithms to find appropriate job distributions.
  • Employment of a branch-and-bound method for exact solution determination.

Main Results:

  • The proposed system effectively addresses the NP-hard problem of investment project distribution.
  • Heuristics provide appropriate distributions for newly created jobs.
  • Experimental results validate the performance on 1850 instances.

Conclusions:

  • The developed optimization system offers a viable solution for complex project allocation.
  • The combination of heuristics and exact methods ensures efficiency and accuracy.
  • This approach facilitates strategic investment distribution in industrial regions.