A tri level programming model based on TsPSO for cabin layout selection in civil airlines
In the airlines management, cabin layout selection is an important but weak link. Most of airlines determinate cabin layout by selection from several schemes provided by aircraft manufacturers rather than quantitative analysis and comprehensive assessment, which leads to deviation from their strategic objectives. This paper proposes to establish a decision making mechanism based on strategic objectives to improve cabin layout selection process and build a quantitative analysis model according to it. For the model, we focus on layout pitch to build a nonlinear tri level programming and develop an algorithm that embed chaos search factor Chebyshev map into tsPSO (extremum disturbed and simple particle swarm optimization) for better searching globe optimality. Lastly, a case study is presented to illustrate the effectiveness of the model.
2017 2nd International Conference on System Reliability and Safety (ICSRS)