A Cultural Algorithm for the Two Variable Integer Programming Problem

Ajit Pal Singh; I.K. Gulam Mohiddin

A Cultural Algorithm for the Two Variable Integer Programming Problem

Ajit Pal Singh * §

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senanu.kumdev

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I.K. Gulam Mohiddin

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§ Department of Computer Science, Eritrea Institute of...

A Cultural Algorithm for the Two Variable Integer Programming Problem

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Abstract

A specific implementation of cultural algorithm is presented here for solving the following two variable integer programming problem with n constraints: Maximize or Minimize are signed integers. A cultural algorithm consists of a population component almost identical to that of the genetic algorithm and, in addition, a knowledge component called the belief space. As the integer programming problem is a constrained optimization problem, the constraints including nonnegativity and integer restrictions are availed as the knowledge component and used to build the belief space.

References

4 Cites in Article

Reference Format

E Beale (1965). Survey of Integer Programming.
E Beale,R Small (1965). Mixed integer programming by a branch and bound technique.
A Carlos,L Licardo (2002). A cultural algorithm for constrained optimization.
C Chang,R Reynolds (1996). A test bed for solving optimization problems using cultural algorithms.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ajit Pal Singh, senanu.kumdev, I.K. Gulam Mohiddin. 1970. "A Cultural Algorithm for the Two Variable Integer Programming Problem". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).

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GJCST Volume 12 Issue 2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Belief space Cultural algorithm Genetic Algorithm Integer programming problem (IPP)Optimization

Classification

GJCST Classification G.1.6

Submission ReceivedApril 7, 2012
Peer Review Double Blind
Handling Editor
Accepted April 30, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

February 6, 2012

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Senthil Kumar Ramadoss , I.K. Gulam Mohiddin , Ajit Pal Singh (PhD/Dr. count: 0)

View Count (all-time): 295

Total Views (Real + Logic): 8230

Total Downloads (simulated): 676

Publish Date: 2012 05, Tue

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Total Views: 8.2K

Total Downloads: 676

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