Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Hybrid behavioural-based multi-objective space trajectory optimization

Vasile, Massimiliano (2009) Hybrid behavioural-based multi-objective space trajectory optimization. In: Multi-Objective Memetic Algorithms. Studies in Computational Intelligence, 171 . Springer Berlin Heidelberg, pp. 231-253. ISBN 978-3-540-88050-9

[img]
Preview
PDF
Vasile_M_Hybrid_behavioural_based_multiobjective_space_trajectory_optimization_2009.pdf - Final Published Version

Download (1MB) | Preview

Abstract

In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space. Prior to the presentation of the algorithm we introduce a general formulation of the optimization problem that is suitable to describe both single and multi-objective problems. The stochastic approach, based on behaviorism, combinedwith the decomposition of the solutions pace was tested on a set of standard multi-objective optimization problems and on a simple but representative case of space trajectory design.