ON THE URBAN PLANNING OPTIMIZATION PROBLEMS VIA g-INVERSE GP METHOD.
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| 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188273718 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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.) |
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| 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 |
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