Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

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

[img]
Preview
PDF
Vasile_M_Pure_A_hybrid_multiagent_approach_for_global_trajectory_otimization_9_Jul_2008.pdf - Preprint

Download (475kB) | Preview

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.