Indexed Memory as a Generic Protocol for Handling Vectors of Data in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{IkSooLim:1998:imgphvGP,

• author = "Ik Soo Lim and Daniel Thalmann",
• title = "Indexed Memory as a Generic Protocol for Handling Vectors of Data in Genetic Programming",
• 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 = "325--334",
• address = "Amsterdam",
• publisher_address = "Berlin",
• month = "27-30 " # sep,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-65078-4",
• DOI = "doi:10.1007/BFb0056875",
• size = "10 pages",
• abstract = "Indexed memory is used as a generic protocol for handling vectors of data in genetic programming. Using this simple method, a single program can generate many outputs. It eliminates the complexity of maintaining different trees for each desired parameter and avoid problem-specific function calls for handling the vectors. This allows a single set of programming language primitives applicable to wider range of problems. For a test case, the technique is appliedto evolution of behavioural control programs for a simulated 2d vehicle in a corridor following problem.",
• notes = "PPSN-V",
• affiliation = "LIG, Department of Computer Science, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland",

}

Genetic Programming entries for Ik Soo Lim Daniel Thalmann

Citations