An optimization approach for DAL assignments. Issue 2 (5th March 2018)

• Record Type: Journal Article
• Authors: Li, Xianan; Lu, Zhong; Wang, Jingyi
• Is Part Of: Aircraft engineering and aerospace technology. Volume 90:Issue 2(2018)
• Page Start: 328
• Page End: 335
• Publication Date: 2018-03-05
• Subjects: Genetic algorithm -- Optimization -- Tabu search -- Aircraft system development -- Development assurance level; Aerospace engineering -- Periodicals; Aeronautics -- Systems engineering -- Periodicals; Astronautics -- Systems engineering -- Periodicals; Airplanes -- Equipment and supplies -- Periodicals; Space vehicles -- Equipment and supplies -- Periodicals; Aerospace industries -- Periodicals; 629.1
• DOI: 10.1108/AEAT-10-2016-0167
• Languages: English
• ISSNs: 1748-8842

Abstract

Abstract : Purpose: Development assurance level (DAL) is the measurement of the rigor of development assurance tasks performed to functions or items. The DAL assignment is an important process of aircraft system development that can make the reliability and safety of the system stay at acceptable levels. This paper aims to propose an optimization approach for the DAL assignments to minimize the development cost of aircraft systems. Design/methodology/approach: The mathematical model for the DAL assignment optimization has been developed on the basis of the given expressions of objective function and constraints. In addition, a hybrid algorithm model synthesizing the advantages of genetic algorithm (GA) and Tabu search (TS) has been proposed to solve the optimization problem of the DAL assignment. Findings: The results of the case study show that the proposed hybrid algorithm is more efficient and effective than the exhaustive method as well as the pure GA. Practical implications: The proposed approach can be applied in the development of aircraft systems, and it has great significance in minimizing the development cost as well as keeping the system reliability and safety at an acceptable level. Originality/value: The constrained optimization method has been applied in the DAL assignments, the corresponding mathematical model has been built and a hybrid evolutionary algorithm has been proposed to solve the optimization problem.