A Systematic Study on Solving Aerospace Problems Using Metaheuristics
Complex engineering problems can be modelled as optimisation problems. For instance, optimising engines, materials, components, structure, aerodynamics, navigation, control, logistics, and planning is essential in aerospace. Metaheuristics are applied to solve these optimisation problems. The presen...
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Zusammenfassung: | Complex engineering problems can be modelled as optimisation problems. For
instance, optimising engines, materials, components, structure, aerodynamics,
navigation, control, logistics, and planning is essential in aerospace.
Metaheuristics are applied to solve these optimisation problems. The present
paper presents a systematic study on applying metaheuristics in aerospace based
on the literature. Relevant scientific repositories were consulted, and a
structured methodology was used to filter the papers. Articles published until
March 2022 associating metaheuristics and aerospace applications were selected.
The most used algorithms and the most relevant hybridizations were identified.
This work also analyses the main types of problems addressed in the aerospace
context and which classes of algorithms are most used in each problem. |
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DOI: | 10.48550/arxiv.2411.02574 |