Please use this identifier to cite or link to this item: https://doi.org/10.1080/002077200291488
Title: A combined genetic algorithms-shooting method approach to solving optimal control problems
Authors: Sim, Y.C.
Leng, S.B. 
Subramaniam, V. 
Issue Date: Jan-2000
Source: Sim, Y.C., Leng, S.B., Subramaniam, V. (2000-01). A combined genetic algorithms-shooting method approach to solving optimal control problems. International Journal of Systems Science 31 (1) : 83-89. ScholarBank@NUS Repository. https://doi.org/10.1080/002077200291488
Abstract: In this paper, an alternative method for solving optimal control problems is presented. By applying calculus of variations, the optimal control problem can be reduced to solving a two-point boundary value problem. Here, the solution is generated with a combination of two methods - genetic algorithms (GA) and the shooting method. An estimate of the optimal solution is first obtained using GA. This solution is in turn used as the initial guess for the shooting method. This combined method is applied to an optimal missile guidance problem. The performances of the combined method and GA are evaluated by simulation and compared. The results clearly show that the proposed combined method is able to locate the optimal solution more efficently than GA. The results also show that the combined method never fails to correctly determine the optimal solution. Therefore, it proves to be more robust than the shooting method whose convergence is not always guaranteed.
Source Title: International Journal of Systems Science
URI: http://scholarbank.nus.edu.sg/handle/10635/53957
ISSN: 00207721
DOI: 10.1080/002077200291488
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

24
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

17
checked on Nov 16, 2017

Page view(s)

74
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.