Bio-Inspired Heuristic Network Configuration in Air Transportation System-of-Systems Design Optimization

2017 ◽  
Vol 139 (8) ◽  
Author(s):  
Ibrahim M. Chamseddine ◽  
Michael Kokkolaras

Previous work in air transportation system-of-systems (ATSoSs) design optimization considered integrated aircraft sizing, fleet allocation, and route network configuration. The associated nested multidisciplinary formulation posed a numerically challenging blackbox optimization problem; therefore, direct search methods with convergence properties were used to solve it. However, the complexity of the blackbox impedes greatly the solution of larger-scale problems, where the number of considered nodes in the route network is high. The research presented here adopts a rule-based route network design inspired by biological transfer principles. This bio-inspired approach decouples the network configuration problem from the optimization loop, leading to significant numerical simplifications. The usefulness of the bio-inspired approach is demonstrated by comparing its results to those obtained using the nested formulation for a 15 city network. We then consider introduction of new aircraft as well as a larger problem with 20 cities.

Author(s):  
Ibrahim M. Chamseddine ◽  
Michael Kokkolaras

Previous work in air transportation system-of-systems design optimization considered integrated aircraft sizing, fleet allocation and route network configuration. The associated nested multidisciplinary formulation posed a numerically challenging optimization problem; therefore, direct search methods with convergence properties were used to solve it. However, the complexity of the blackbox is such that it impedes greatly the solution of larger-scale problems, where the number of considered nodes in the route network is high. The research presented here adopts a rule-based route network design inspired by biological transfer principles. This bio-inspired approach decouples the network configuration problem from the optimization loop, leading to significant numerical simplifications. The usefulness of the bio-inspired approach is demonstrated by comparing its results to those obtained using the nested formulation for a 15-city network. We then consider introduction of new aircraft as well as a larger problem with 20 cities.


Author(s):  
Harrison M. Kim ◽  
I. Jessica Hidalgo

This paper describes a multilevel, multistage approach to system of systems design optimization where a system design is linked with system allocation along the multistage decision making horizon. The approach is composed of two parts: pseudo-hierarchical formulation (i.e., how to model the stages of multiple, separate decision making processes), and multistage coordination (i.e., how efficiently the proposed model would perform). The pseudo-hierarchical formulation integrates multilevel optimization and multistage programming to capture level-by-level and stage-by-stage system design optimization. The multistage coordination is based on the alternating directions method that is incorporated as an efficient means to solve this inherently largescale optimization problem. An example on collaborative system operation and design between an airline and an aircraft manufacturer validates the methodology where an airline plans to introduce multiple new aircraft to capture dynamically changing demand of the customers. The proposed methodology is validated against the all-in-one approach and the sequential approach.


Author(s):  
Gautam Marwaha ◽  
Michael Kokkolaras

Aircraft sizing, route network design, demand estimation and allocation of aircraft to routes are different facets of the air transportation optimization problem that can be viewed as individual “systems,” since they can be conducted independently. In fact, there is a large body of literature that investigates each of these as a stand-alone problem. In this regard, the air transportation design optimization problem can be viewed as an optimal system-of-systems (SoS) design problem. The resulting mixed variable programming problem cannot be solved all-in-one (AiO) because its size and complexity grow exponentially with increasing number of network nodes. In this work, we use a nested multidisciplinary formulation and the Mesh Adaptive Direct Search (MADS) optimization algorithm to solve the optimal SoS design problem. The expansion of a regional Canadian airline’s network to enable national operations is considered as an example.


2021 ◽  
Vol 1 (195) ◽  
pp. 75-87
Author(s):  
V.V. Rublev ◽  

The article presents an analysis of the activities of regional airports in France in 2019. The growth of passenger traffic was observed in those airports that actively developed cooperation with budget airlines, increasing the number of destinations in the route network. Regional airports in France, whose route network structure did not expand in 2019, showed a slight decrease in passenger traffic (from –0.1% to –3%). The first and only experimental regional airport in France (city of Beziers), handling flights of only one budget airline, Ryanair, showed an increase in passenger traffic by 14.5% in 2019. The share of routes of budget airlines in the structure of the route network of regional airports in France is quite high. The key problems of regional airports in Russia are the low passenger traffic and the underdeveloped route network. Due to the presence of the only national budget airline "Pobeda" on the market and the minimal impact on the segment of budget air transportation of foreign airlines, the share of budget air transportation destinations in the structure of regional airports of the Russian Federation continues to remain at an extremely low level. 2019 showed a record growth in passenger traffic at regional airports in the Central Federal District (an increase from +2.8% to +262%, with the exception of Tambov Airport, whose passenger traffic fell by 57.4%), which indicates an increase in demand and the need to expand the route network of regional airports. On the example of the Voronezh airport, a model for the development of low-cost airline destinations is presented.


2021 ◽  
Author(s):  
Jonathan M. Smyth ◽  
Robert J. Miller

Abstract This paper proposes a new duty-based Smith Chart as part of an improved method of selecting the geometric topology of compressors (axial, mixed or radial) in the earliest stage of design. The method has a number of advantages over previous methods: it is based on the non-dimensional flow and the non-dimensional work, which aligns with the aerodynamic function of the compressor and is therefore more intuitive than specific speed and specific diameter. It is based on a large number of consistently designed compressor rotors which have been computationally predicted using RANS CFD. Most importantly, it provides the designer not only with a choice of topology but also with the complete meridional geometry of the compressor, its blade design and the number of blades. This fidelity of geometry at the very early stage of design allows the designer to undertake a true systems design optimization (noise, manufacturing, packaging constraints and cost). This has the major advantage of significantly reducing early stage design times and costs and allows the designer to explore completely new products more quickly.


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