Bi-level energy optimization model in smart integrated engineering systems using WSN
Based on fuzzy relational inequality, a bi-level linear programme optimizes the visible light brightness and operating costs of access points in a wireless transmission station system. Consider the first computing problem utilizing a minimum solution matrix. A convex infinite set is generated by a r...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722001834 |
| _version_ | 1797901981703995392 |
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| author | Ajay P. Nagaraj B. Jaya J. |
| author_facet | Ajay P. Nagaraj B. Jaya J. |
| author_sort | Ajay P. |
| collection | DOAJ |
| description | Based on fuzzy relational inequality, a bi-level linear programme optimizes the visible light brightness and operating costs of access points in a wireless transmission station system. Consider the first computing problem utilizing a minimum solution matrix. A convex infinite set is generated by a restricted number of closed intervals. Second, computing is an objective-domain nonlinear mathematical optimization problem. A multi-objective optimization problem is used to solve the second programming challenge. The constraint set must be used. Use discrete optimization techniques and branch-and-bound procedures for “digital integer linear programming”. Our technique has been shown to be both practical and successful. The programming complexity increases as the organization expands. |
| first_indexed | 2024-04-10T09:10:35Z |
| format | Article |
| id | doaj.art-07c2bf30774044fd8f6550bafc26b6b5 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:10:35Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-07c2bf30774044fd8f6550bafc26b6b52023-02-21T05:10:24ZengElsevierEnergy Reports2352-48472022-11-01824902495Bi-level energy optimization model in smart integrated engineering systems using WSNAjay P.0Nagaraj B.1Jaya J.2Faculty of Information and Communication Engineering, Anna University, Chennai, India; Corresponding author.Department of ECE, Rathinam Technical Campus, IndiaDepartment of ECE, Hindustan College of Engineering and Technology, Coimbatore, IndiaBased on fuzzy relational inequality, a bi-level linear programme optimizes the visible light brightness and operating costs of access points in a wireless transmission station system. Consider the first computing problem utilizing a minimum solution matrix. A convex infinite set is generated by a restricted number of closed intervals. Second, computing is an objective-domain nonlinear mathematical optimization problem. A multi-objective optimization problem is used to solve the second programming challenge. The constraint set must be used. Use discrete optimization techniques and branch-and-bound procedures for “digital integer linear programming”. Our technique has been shown to be both practical and successful. The programming complexity increases as the organization expands.http://www.sciencedirect.com/science/article/pii/S2352484722001834Fuzzy interactionsBi-level processingMax-product compilationAsymmetric optimizationImplementation of the minimal max-norm matrix are all topics covered |
| spellingShingle | Ajay P. Nagaraj B. Jaya J. Bi-level energy optimization model in smart integrated engineering systems using WSN Energy Reports Fuzzy interactions Bi-level processing Max-product compilation Asymmetric optimization Implementation of the minimal max-norm matrix are all topics covered |
| title | Bi-level energy optimization model in smart integrated engineering systems using WSN |
| title_full | Bi-level energy optimization model in smart integrated engineering systems using WSN |
| title_fullStr | Bi-level energy optimization model in smart integrated engineering systems using WSN |
| title_full_unstemmed | Bi-level energy optimization model in smart integrated engineering systems using WSN |
| title_short | Bi-level energy optimization model in smart integrated engineering systems using WSN |
| title_sort | bi level energy optimization model in smart integrated engineering systems using wsn |
| topic | Fuzzy interactions Bi-level processing Max-product compilation Asymmetric optimization Implementation of the minimal max-norm matrix are all topics covered |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722001834 |
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