Solving optimal control problems with a cost on changing control by evolutionary algorithms


Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

8 Citations (Scopus)


Many mathematical solutions to certain classes of optimal control problems, particularly problems which give rise to `chattering controls', make some physically unrealistic assumptions in order to solve the problems. These solutions often ignore the cost of changing control and thus fail to give physically realistic results due to the physical reality of this cost in many applications. When this cost is incorporated into the problem, the problem can become very difficult to solve numerically. This paper considers an evolutionary approach to solving optimal control problems which take the cost of changing control into account. A novel chromosome representation and an insert mutation have been proposed and tested against three different problems. The experimental results show that the evolutionary approach is quite competitive in comparison with the existing method based on dynamic programming.
Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Evolutionary Computation, ICEC
Number of pages6
Publication statusPublished - 1997
Externally publishedYes


Dive into the research topics of 'Solving optimal control problems with a cost on changing control by evolutionary algorithms'. Together they form a unique fingerprint.

Cite this