- author = "Roman Weisser and Pavel Osmera and Jan Roupec and Radomil Matousek",
- title = "Transplant Evolution for Optimization of General Controllers",
- booktitle = "New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems",
- publisher = "InTech",
- year = "2010",
- editor = "Er Meng Joo",
- chapter = "5",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, differential evolution, transplant evolution",
- isbn13 = "978-953-307-213-5",
-
DOI = "
doi:10.5772/10419",
- size = "18 pages",
- abstract = "The aim of this paper is to describe a new optimisation method that can create control equations of general regulators. For this type of optimization a new method was created and we call it Two-Level Transplant Evolution (TLTE). This method allowed us to apply advanced methods of optimisation, for example direct tree reducing of tree structure of control equation. The reduction method was named Arithmetic Tree Reducing (ART). For the optimisation of control equations of general controllers it is suitable to combine two evolutionary algorithms. The main goal in the first level of TLTE is the optimisation of the structure of general controllers. In the second level of TLTE the concrete parameters are optimised and the unknown abstract parameters in the structure of equations are set. The method TLTE was created by the combination of the Transplant Evolution method (TE) and the Differential Evolution method (DE). The Transplant Evolution (TE) optimises the structure of the solution with...",
-
notes = "'grammatical rules are chosen randomly'. shortening
structural mutation, algebraic reducing tree ART
VUT in Bruno",
