Multiobjective Optimisation for Aircraft Design

Dear Colleagues,

Aircraft design can be accomplished by means of multidisciplinary design optimisation (MDO), which integrates many engineering disciplines and their mutual interactions to create a practical engineering design problem whilst a design solution is achieved by means of optimisation. Often, the optimum design problem requires more than one objective function to provide various design choices. Such a problem is traditionally termed multiobjective optimisation, or many-objective optimisation, when there are more than three objective functions, as it is significantly more difficult to solve. The aim of multiobjective design is to provide a set of Pareto optimal solutions for decision making.

In aircraft conceptual design, designers need to optimise several indicators such as weight, range/endurance, take-off/landing distance, and radar cross-section, whereas design constraints such as flight performance, stability, and control requirements are imposed. A typical aeroelastic design problem must be posed to optimise the structural mass and performance with aeroelastic and structural constraints. Meanwhile, in reliability design, which has random variables, it is possible to handle the problem by adding more objective functions, e.g., a reliability index or a similar indicator.

This Special Issue aims to increase the knowledge in the field of aircraft design using multiobjective optimisation. Topics may include, but are not limited to:

• Multiobjective metaheuristics for aircraft design;
• Reliability/robust design;
• Multiobjective aircraft conceptual design;
• Infill sampling using multiobjective optimisation;
• Surrogate-based multiobjective optimisation;
• Robust control with multiobjective optimisation;
• Aeroelastic and structural optimisation.

Dr. Sujin Bureerat
Guest Editor

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• multiobjective optimisation
• Pareto front
• aeroelasticity
• uncertainty
• conceptual design
• surrogate models
• reliability design
• metaheuristics
• scalarisation