Citation

Khan, Nitasha and Abdi, Syed Azmat Ali and Khan, Talha Ahmed and Rizvi, Syed Safdar Ali (2023) Minimization of High Maintenance Cost and Hazard Emissions Related to Aviation Engines: An Implementation of Functions Optimizations by Using Genetic Algorithm for Better Performance. In: 8th International Electrical Engineering Conference, 25–26 August 2023, Karachi, Pakistan.

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Abstract

This research paper explores the relationship between different functionalities of aircraft and investigates the impact of increased air travel on carbon dioxide, nitrous oxide, water vapor, and hydrocarbon emissions. These emissions contribute to both local airport pollution and global atmospheric pollution, posing significant environmental challenges. The study aims to minimize the high maintenance costs associated with aviation engines and to reduce the hazardous emissions from aircraft engines in order to protect the environment. A genetic algorithm is employed for multi-objective optimization, generating a set of desirable solutions applicable in real-world scenarios. The results demonstrate the effectiveness and simplicity of the genetic algorithm in iteratively searching for optimal solutions. This research provides valuable insights for the research community and paves the way for further investigations into these critical issues.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Aircraft functionalities; genetic algorithm; atmospheric pollution
Subjects:	Q Science > QA Mathematics > QA101-(145) Elementary mathematics. Arithmetic
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	23 Feb 2024 03:42
Last Modified:	23 Feb 2024 03:42
URII:	http://shdl.mmu.edu.my/id/eprint/12132

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