Picture of boy being examining by doctor at a tuberculosis sanatorium

Understanding our future through Open Access research about our past...

Strathprints makes available scholarly Open Access content by researchers in the Centre for the Social History of Health & Healthcare (CSHHH), based within the School of Humanities, and considered Scotland's leading centre for the history of health and medicine.

Research at CSHHH explores the modern world since 1800 in locations as diverse as the UK, Asia, Africa, North America, and Europe. Areas of specialism include contraception and sexuality; family health and medical services; occupational health and medicine; disability; the history of psychiatry; conflict and warfare; and, drugs, pharmaceuticals and intoxicants.

Explore the Open Access research of the Centre for the Social History of Health and Healthcare. Or explore all of Strathclyde's Open Access research...

Image: Heart of England NHS Foundation Trust. Wellcome Collection - CC-BY.

Analysis of some global optimization algorithms for space trajectory design

Vasile, Massimiliano and Minisci, Edmondo and Locatelli, Marco (2010) Analysis of some global optimization algorithms for space trajectory design. Journal of Spacecraft and Rockets, 47 (2). pp. 334-344. ISSN 0022-4650

[img] PDF (G:\Private\Admin\Research admin etc\PURE\Vasile M - Pure - Analysis of some global optimization algorithms for space trajectory design Mar 2010)
Vasile_M_Pure_Analysis_of_some_global_optimization_algorithms_for_space_trajectory_design_Mar_2010.pdf
Preprint

Download (836kB)

Abstract

In this paper, we analyze the performance of some global search algorithms on a number of space trajectory design problems. A rigorous testing procedure is introduced to measure the ability of an algorithm to identify the set of ²-optimal solutions. From the analysis of the test results, a novel algorithm is derived. The development of the novel algorithm starts from the redefinition of some evolutionary heuristics in the form of a discrete dynamical system. The convergence properties of this discrete dynamical system are used to derive a hybrid evolutionary algorithm that displays very good performance on the particular class of problems presented in this paper.