Work

Multi-Objective Optimization of Top-Level Arrangement for Flight Test

Year: 2025

Type: article

Abstract: The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost. Based on the flight test activity, mathematical models of flight test duration and cost are established to set up the framework of flight test process. The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test. In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement, real flight test data is used to make an example calculation. Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data, which can shorten the duration, reduce the cost, and improve the efficiency of flight test.

Source: Journal of Systems Engineering and Electronics

DOI: 10.23919/jsee.2025.000019

Authors: Yunong Wang, Wenhao Bi, Qiucen Fan, Shuangfei Xu, An Zhang

Institution: Northwestern Polytechnical University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G4128317918, G8783966174