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In this paper, we present the application of a recently developed algorithmfor Bayesian multi-objective optimization to the design of a commercialaircraft environment control system (ECS). In our model, the ECS is composed oftwo cross-flow heat exchangers, a centrifugal compressor and a radial turbine,the geometries of which are simultaneously optimized to achieve minimal weightand entropy generation of the system. While both objectives impact the overallperformance of the aircraft, they are shown to be antagonistic and a set oftrade-off design solutions is identified. The algorithm used for optimizing thesystem implements a Bayesian approach to the multi-objective optimizationproblem in the presence of non-linear constraints and the emphasis is onconducting the optimization using a limited number of system simulations.Noteworthy features of this particular application include a non-hypercubicdesign domain and the presence of hidden constraints due to simulationfailures.

Design of a commercial aircraft environment control system using Bayesian optimization techniques