- author = "Ekaterina Smorodkina and Daniel Tauritz",
- title = "Toward Automating EA Configuration: The Parent Selection Stage",
- booktitle = "2007 IEEE Congress on Evolutionary Computation",
- year = "2007",
- editor = "Dipti Srinivasan and Lipo Wang",
- pages = "63--70",
- address = "Singapore",
- month = "25-28 " # sep,
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- ISBN = "1-4244-1340-0",
- file = "1485.pdf",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/CEC.2007.4424455",
- abstract = "One of the obstacles to Evolutionary Algorithms (EAs) fulfilling their promise as easy to use general-purpose problem solvers, is the difficulty of correctly configuring them for specific problems such as to obtain satisfactory performance. Having a mechanism for automatically configuring parameters and operators of every stage of the evolutionary life-cycle would give EAs a more widely spread popularity in the non-expert community. This paper investigates automatic configuration of one of the stages of the evolutionary life-cycle, the parent selection, via a new concept of semi-autonomous parent selection, where mate selection operators are encoded and evolved as in Genetic Programming. We compare the performance of the EA with semi-autonomous parent selection to that of a manually configured EA on three common test problems to determine the 'price' we pay for user-friendliness.",
-
notes = "PHD \cite{EkaterinaHoldenerDissertation} MST 2008 The
art of parameterless evolutionary algorithms
http://web.mst.edu/~tauritzd/nc-lab/EkaterinaHoldenerDissertation.pdf
http://laurel.lso.missouri.edu/search~S8?/tMST+thesis.+Computer+Science+%28Ph.D.%2C+2008%29./tmst+thesis+computer+science+ph+d+2008/-3%2C-1%2C0%2CB/frameset&FF=tmst+thesis+computer+science+ph+d+2008&1%2C%2C6
CEC 2007 - A joint meeting of the IEEE, the EPS, and the IET. IEEE Catalog Number: 07TH8963C",
