Abstract
Background: This article reviews recent patents pertaining to the technological achievements and shortcomings of aircraft Position Indicator and Actuator System (PIAS). Generally, most patents have concentrated more on design, while implementing various developed single or multiobjective algorithms to solve component or system optimal design problems such as those of PIAS. Thus, there is a noticeable lack of patent efforts on either developing new constraint-handling techniques especially for multi-objective optimization, or applying advance single-objective constrainthandling techniques to multi-objective optimization.
Method: To address this, the authors of this article in there past work developed a multi-objective optimization algorithm called Genetic Pareto Set Identification Algorithm plus Different Sex (GPSIA+DS), which considers the feasible and infeasible solution in it optimization strategy. However, the application of GPSIA+DS to real world reliability engineering problem has not been validated.
Result: Thus, in this work, GPSIA+DS ability to handle an aircraft PIAS optimization problem was presented. PIAS component failure rates were obtained via Fault Tree Analysis (FTA). PIAS cost and reliability were the study objective functions subject to weight constrains. The performance of GPSIA+DS for the test problem was investigated through a comparative study.
Conclusion: In the comparative study GPSIA+DS was compared with fast-sort genetic algorithm plus constrained dominance principle (NSGA-II+CD). Although NSGA-II+DS out performed GPSIA+DS for this test problem, it is evident that GPSIA+DS is equally an efficient algorithm.
Keywords: Aircraft system, constrain, failure rate, genetic algorithm, multi-objective optimization (MOO), pareto set, reliabilityAircraft system, constrain, failure rate, genetic algorithm, multi-objective optimization (MOO), pareto set, reliability
Graphical Abstract
Call for Papers in Thematic Issues
Advanced Experimental, Computational Fluid Dynamics and Intelligent Computing Techniques on Complex Multiphase Flow Problems
Computational fluid dynamics (CFD) and Intelligent computing are very emerging technology in various industrial applications. Multiphase flow problems are very dominant in hydro as well as power plants, mining, marine, cementing, food processing, and ore-processing industries. Multiphase flows include gas-solid as well as liquid-solid flows. The solid like ores, ash, ...read more
Advanced materials for energy production, transmission, and utilization
Hydrogen storage and production materials: Developing high-performance hydrogen generation and storage materials, as well as researching the mechanism of hydrogen-material interaction. The emphasis for supercapacitors is on carbon-based materials derived from various biomass carbonization methods, as well as carbon-containing electrode materials such as metal sulfide, oxides, and other similar compounds. ...read more
Advancements in Machine Learning for Medical Applications in Material Science
The fusion of machine learning with medical applications and material science has ushered in a new era of innovation, offering transformative solutions to complex healthcare challenges. "Advancements in Machine Learning for Medical Applications in Material Science," a special issue, serves as a crucible for exploring the remarkable synergy between these ...read more
Computational Methods in Engineering
In recent decades, computational methods have revolutionized the field of engineering, playing a pivotal role in enhancing efficiency, accuracy, and innovation across various disciplines. This proposed thematic issue aims to explore and showcase the latest advancements, challenges, and applications of computational methods in engineering. As technology continues to evolve, computational ...read more
Related Books
Intelligent Technologies for Automated Electronic Systems
Modern Radio Signals Filtering Devices Methods, Technologies, & Structures
Functional Bio-based Materials for Regenerative Medicine: From Bench to Bedside (Part 2)
Mechanical Engineering Technologies and Applications
Multistage Interconnection Network Design for Engineers
Mechanical Engineering Technologies and Applications
Semi-rotary and Linear Actuators for Compressed Air Energy Storage and Energy Efficient Pneumatic Applications
Waste Valorization for Value-added Products
One-Dimensional Transient Flow in Pipelines Modelling and Simulation
Principles of Automation and Control
21