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.
Bio-Inspired Heuristic Network Configuration in Air Transportation System-of-Systems Design Optimization
Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received September 4, 2016; final manuscript received April 27, 2017; published online June 14, 2017. Assoc. Editor: Christopher Mattson.
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Chamseddine, I. M., and Kokkolaras, M. (June 14, 2017). "Bio-Inspired Heuristic Network Configuration in Air Transportation System-of-Systems Design Optimization." ASME. J. Mech. Des. August 2017; 139(8): 081401. https://doi.org/10.1115/1.4036778
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