A hybrid multiagent approach for global trajectory optimization

Tools

Vasile, Massimiliano and Locatelli, Marco (2009) A hybrid multiagent approach for global trajectory optimization. Journal of Global Optimization, 44 (4). pp. 461-479. ISSN 0925-5001 (https://doi.org/10.1007/s10898-008-9329-3)

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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.

ORCID iDs

Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465 and Locatelli, Marco;
CORE (COnnecting REpositories)