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A hybrid multiagent approach for global trajectory optimization

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

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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.

Item type: Article
ID code: 28966
Keywords: global optimization , space trajectory design , agent-based approach , domain decomposition, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Control and Optimization, Management Science and Operations Research, Applied Mathematics, Computer Science Applications
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Depositing user: Pure Administrator
Date Deposited: 28 Mar 2011 12:11
Last modified: 18 Jun 2015 08:24
URI: http://strathprints.strath.ac.uk/id/eprint/28966

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