- author = "Tina Yu and Peter Bentley",
- title = "Methods to Evolve Legal Phenotypes",
- booktitle = "Fifth International Conference on Parallel Problem Solving from Nature",
- year = "1998",
- editor = "Agoston E. Eiben and Thomas Back and Marc Schoenauer and Hans-Paul Schwefel",
- volume = "1498",
- series = "LNCS",
- pages = "280--291",
- address = "Amsterdam",
- publisher_address = "Berlin",
- month = "27-30 " # sep,
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-65078-4",
-
URL = "
http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/ppsn.pdf",
-
DOI = "
doi:10.1007/BFb0056871",
- size = "12 pages",
- abstract = "Many optimisation problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints can be enforced in many different ways to ensure that legal solutions (phenotypes) are evolved. We have identified eleven ways to handle constraints within various stages of an evolutionary algorithm. Five of these methods are experimented on a run-time error constraint in a Genetic Programming system. The results are compared and analysed.",
-
notes = "PPSN-V Fifth International Conference on Parallel
Problem Solving from Nature
RN/98/68 http://www.cs.ucl.ac.uk/research/rns/rns98.html See also \cite{TinaYu:1998:melpLB}",
