A hybrid multiagent approach for global trajectory optimization

Vasile, M. and Locateli, M. (2008) A hybrid multiagent approach for global trajectory optimization. Journal of Global Optimization, 41(3), (doi: 10.1007/s10898-008-9329-3)

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: Articles
• Additional Information: The original publication is available at www.springerlink.com
• Keywords: global optimization, space trajectory design, agent-based approach, domain decomposition
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Vasile, Dr Massimiliano
• Authors: Vasile, M., and Locateli, M.
• Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Research Group: Space Advanced Research Team
• Journal Name: Journal of Global Optimization
• Publisher: Springer
• ISSN: 1573-2916
• Copyright Holders: Dr M Vasile
• First Published: First published in Journal of Global Optimization 41(3)
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher