Memetic Strategies for Global Trajectory Optimisation

Authors:
Massimiliano Vasile;Edmondo Minisci
Affiliations:
Department of Aerospace Engineering, University of Glasgow, Glasgow, UK G12 8QQ;Department of Aerospace Engineering, University of Glasgow, Glasgow, UK G12 8QQ
Venue:
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Year:
2009

Citing 4
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Abstract

Some types of space trajectory design problems present highly multimodal, globally non-convex objective functions with a large number of local minima, often nested. This paper proposes some memetic strategies to improve the performance of the basic heuristic of differential evolution when applied to the solution of global trajectory optimisation. In particular, it is often more useful to find families of good solutions rather than a single, globally optimal one. A rigorous testing procedure is introduced to measure the performance of a global optimisation algorithm. The memetic strategies are tested on a standard set of difficult trajectory optimisation problems.