A hybrid multiagent approach for global trajectory optimization

Authors:
Massimiliano Vasile;Marco Locatelli
Affiliations:
Department of Aerospace Engineering, University of Glasgow, Glasgow, UK G12 8QQ;Dipartimento di Informatica, Università di Torino, Torino, Italy 10149
Venue:
Journal of Global Optimization
Year:
2009

Citing 9
Cited 9

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Abstract

In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers (corresponding to a set of different design options), is based on a domain decomposition technique where each subdomain is evaluated through a procedure based on the evolution of a population of agents. The method is applied to two space trajectory design problems and compared with existing deterministic and stochastic global optimization methods.