Hybrid behavioural-based multiobjective space trajectory optimization

Vasile, M. (2009) Hybrid behavioural-based multiobjective space trajectory optimization. In: Goh, C.-K., Ong, Y.-S. and Tan, K.C. (eds.) Multi-Objective Memetic Algorithms. Series: Studies in computational intelligence (171). Springer: Berlin, Germany, pp. 231-253. ISBN 9783540880509

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, combined with 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.

• Item Type: Book Sections
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Vasile, Dr Massimiliano
• Authors: Vasile, M.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Publisher: Springer
• ISBN: 9783540880509