A hybrid multiagent approach for global trajectory optimization

Massimiliano Vasile, Marco Locatelli

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)
138 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)461-479
Number of pages19
JournalJournal of Global Optimization
Issue number4
Publication statusPublished - 1 Aug 2009


  • global optimization
  • space trajectory design
  • agent-based approach
  • domain decomposition


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