Analysis of Some Global Optimization Algorithms for Space Trajectory Design

被引：72

作者：

Vasile, M. ^{[1
]}

Minisci, E. ^{[1
]}

Locatelli, M. ^{[2
]}

机构：

[1] Univ Glasgow, Glasgow G12 8QQ, Lanark, Scotland

[2] Univ Parma, Dipartimento Ingn Informat, I-43124 Parma, Italy

来源：

JOURNAL OF SPACECRAFT AND ROCKETS | 2010年 / 47卷 / 02期

关键词：

Evolutionary algorithms - Space flight - Ability testing - Global optimization;

D O I：

10.2514/1.45742

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper analyzes 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 epsilon-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.

引用

页码：334 / 344

页数：11

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