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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.