- author = "Andrew Harry Watson",
- title = "An investigation of evolutionary computing in systems identification for preliminary design",
- school = "School of Computing, University of Plymouth",
- year = "1999",
- address = "UK",
- month = mar,
- keywords = "genetic algorithms, genetic programming",
- isni = "0000 0001 3564 1180",
-
URL = "
http://hdl.handle.net/10026.1/1669",
-
URL = "https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481293",
-
URL = "
https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/1669/A.H.Watson.PDF",
- size = "193 pages",
- abstract = "This research investigates the integration of evolutionary techniques for symbolic regression. In particular the genetic programming paradigm is used together with other evolutionary computational techniques to develop novel approaches to the improvement of areas of simple preliminary design software using empirical data sets. It is shown that within this problem domain, conventional genetic programming suffers from several limitations, which are overcome by the introduction of an improved genetic programming strategy based on node complexity values, and using a steady state algorithm with subpopulations. A further extension to the new technique is introduced which incorporates a genetic algorithm to aid the search within continuous problem spaces, increasing the robustness of the new method. The work presented here represents an advance in the field of genetic programming for symbolic regression with significant improvements over the conventional genetic programming approach. Such improvement is illustrated by extensive experimentation using both simple test functions and real-world design examples.",
-
notes = "In collaboration with Rolls Royce.
Supervisor: Ian Parmee, Graham Purchase
Item number 9004013663
design software: friction factor turbulent pipe flow, laminar 2D sudden expansion flow, thermal paint jet turbine blade",
