ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA g-INVERSE GP METHOD.

Saved in:
Bibliographic Details
Title: ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA g-INVERSE GP METHOD.
Authors: Nwachi, Christy C.1 christynwachi@gmail.com, Amuji, Harrison O.2 harrison.amuji@futo.edu.ng, Ugwuanyim, Geoffrey U.2 geoffrey.ugwuanyim@luto.edu.ng, Iwu, Hycinth C.2 hycinth.iwu@futo.edu.ng, Okeoma, Immaculata O.1 ogechi.okeoma@futo.edu.ng, Okeke, Kenneth O.3 okekemkechukwu@fiito.edu.ng, Eke, Edward E.4 edwardeke280@gmail.com, Ezeanya, Nnaemeka C.5 nnaemeka.ezeanya@futo.edu.ng, Anya, Collins U.6 collins.anya@futo.edu.ng
Source: Advances & Applications in Discrete Mathematics. Oct2025, Vol. 42 Issue 7, p643-655. 13p.
Subjects: Urban planning, Geometric programming, Cost estimates, Cities & towns, Mathematical models, Mathematical optimization, Population forecasting
Abstract: In this paper, we develop a g-inverse geometric programming model for urban planning optimization problems. The nature of this problem is complex because of the resulting rectangular exponent matrix with so many positive degrees of difficulty. This method has helped to solve such a complex problem and eliminate the use of condensation, which would require higher-order mathematics. From the solution to the modelled urban planning optimization problem, we were able to determine the optimal cost for urban planning for the five selected districts in Owerri to be 2.625 x 106. We also estimated the lower and upper bound populations of the districts in the next two years. Our model is robust and has demonstrated its capacity to handle such tasks of cost estimation and population estimation with less difficulty. [ABSTRACT FROM AUTHOR]
Copyright of Advances & Applications in Discrete Mathematics is the property of Pushpa Publishing House and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 188273718
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA g-INVERSE GP METHOD.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Nwachi%2C+Christy+C%2E%22">Nwachi, Christy C.</searchLink><relatesTo>1</relatesTo><i> christynwachi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Amuji%2C+Harrison+O%2E%22">Amuji, Harrison O.</searchLink><relatesTo>2</relatesTo><i> harrison.amuji@futo.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Ugwuanyim%2C+Geoffrey+U%2E%22">Ugwuanyim, Geoffrey U.</searchLink><relatesTo>2</relatesTo><i> geoffrey.ugwuanyim@luto.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Iwu%2C+Hycinth+C%2E%22">Iwu, Hycinth C.</searchLink><relatesTo>2</relatesTo><i> hycinth.iwu@futo.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Okeoma%2C+Immaculata+O%2E%22">Okeoma, Immaculata O.</searchLink><relatesTo>1</relatesTo><i> ogechi.okeoma@futo.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Okeke%2C+Kenneth+O%2E%22">Okeke, Kenneth O.</searchLink><relatesTo>3</relatesTo><i> okekemkechukwu@fiito.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Eke%2C+Edward+E%2E%22">Eke, Edward E.</searchLink><relatesTo>4</relatesTo><i> edwardeke280@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ezeanya%2C+Nnaemeka+C%2E%22">Ezeanya, Nnaemeka C.</searchLink><relatesTo>5</relatesTo><i> nnaemeka.ezeanya@futo.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Anya%2C+Collins+U%2E%22">Anya, Collins U.</searchLink><relatesTo>6</relatesTo><i> collins.anya@futo.edu.ng</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Advances+%26+Applications+in+Discrete+Mathematics%22">Advances & Applications in Discrete Mathematics</searchLink>. Oct2025, Vol. 42 Issue 7, p643-655. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+programming%22">Geometric programming</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+estimates%22">Cost estimates</searchLink><br /><searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Population+forecasting%22">Population forecasting</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we develop a g-inverse geometric programming model for urban planning optimization problems. The nature of this problem is complex because of the resulting rectangular exponent matrix with so many positive degrees of difficulty. This method has helped to solve such a complex problem and eliminate the use of condensation, which would require higher-order mathematics. From the solution to the modelled urban planning optimization problem, we were able to determine the optimal cost for urban planning for the five selected districts in Owerri to be 2.625 x 106. We also estimated the lower and upper bound populations of the districts in the next two years. Our model is robust and has demonstrated its capacity to handle such tasks of cost estimation and population estimation with less difficulty. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances & Applications in Discrete Mathematics is the property of Pushpa Publishing House and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188273718
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.17654/0974165825041
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 643
    Subjects:
      – SubjectFull: Urban planning
        Type: general
      – SubjectFull: Geometric programming
        Type: general
      – SubjectFull: Cost estimates
        Type: general
      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Population forecasting
        Type: general
    Titles:
      – TitleFull: ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA g-INVERSE GP METHOD.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nwachi, Christy C.
      – PersonEntity:
          Name:
            NameFull: Amuji, Harrison O.
      – PersonEntity:
          Name:
            NameFull: Ugwuanyim, Geoffrey U.
      – PersonEntity:
          Name:
            NameFull: Iwu, Hycinth C.
      – PersonEntity:
          Name:
            NameFull: Okeoma, Immaculata O.
      – PersonEntity:
          Name:
            NameFull: Okeke, Kenneth O.
      – PersonEntity:
          Name:
            NameFull: Eke, Edward E.
      – PersonEntity:
          Name:
            NameFull: Ezeanya, Nnaemeka C.
      – PersonEntity:
          Name:
            NameFull: Anya, Collins U.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 09741658
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Advances & Applications in Discrete Mathematics
              Type: main
ResultId 1