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...
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| Vydáno v: | Energy reports Ročník 8; s. 2490 - 2495 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.11.2022
Elsevier |
| Témata: | |
| ISSN: | 2352-4847, 2352-4847 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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.
•We the undersigned declare that this manuscript is original, has not been published before and is not currently being considered for publication elsewhere.•We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed.•We further confirm that the order of authors listed in the manuscript has been approved by all of us.•We understand that the Corresponding Author is the sole contact for the Editorial process.•He/she is responsible for communicating with the other authors about progress. |
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| ISSN: | 2352-4847 2352-4847 |
| DOI: | 10.1016/j.egyr.2022.01.183 |