Enhanced multi-objective evolutionary mating algorithm with improved crowding distance and levy flight for optimizing comfort index and energy consumption in smart buildings

Enhanced multi-objective evolutionary mating algorithm with improved crowding distance and levy flight for optimizing comfort index and energy consumption in smart buildings

This paper introduces a novel Multi-Objective Evolutionary Mating Algorithm (MOEMA) designed to address the inherent challenges of optimizing comfort index and energy consumption in smart building systems. While current Evolutionary Mating Algorithms (EMA) primarily focus on single-objective optimiz...

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Bibliographic Details
Main Authors: Muhammad Naim, Nordin, Mohd Herwan, Sulaiman, Nor Farizan, Zakaria, Zuriani, Mustaffa
Format: Article
Language:English
Published: Elsevier B.V. 2025
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/44973/
http://umpir.ump.edu.my/id/eprint/44973/1/1-s2.0-S2773186325000763-main.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44973/
http://umpir.ump.edu.my/id/eprint/44973/1/1-s2.0-S2773186325000763-main.pdf

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