- author = "I. Sekaj and J. Perkacz",
- title = "Genetic Programming - based Controller Design",
- booktitle = "2007 IEEE Congress on Evolutionary Computation",
- year = "2007",
- editor = "Dipti Srinivasan and Lipo Wang",
- pages = "1339--1343",
- address = "Singapore",
- month = "25-28 " # sep,
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- ISBN = "1-4244-1340-0",
- file = "1515.pdf",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/CEC.2007.4424626",
- abstract = "Two genetic programming-based approaches are proposed for continuous-time process control design. The first approach uses a network of interconnected continuous-time elementary dynamic building blocs with a specific table-based representation of individuals. In the second approach the control algorithm is represented as a recurrent function of discrete-time variables with the tree representation of individuals. Both approaches are demonstrated on controller design examples, which are compared with the genetic algorithm-based PID controller design.",
-
notes = "CEC 2007 - A joint meeting of the IEEE, the EPS, and
the IET.
IEEE Catalog Number: 07TH8963C",
