Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{journals/memetic/Bader-El-DenPF09,
  title =        "Evolving timetabling heuristics using a grammar-based
                 genetic programming hyper-heuristic framework",
  author =       "Mohamed Bahy Bader-El-Den and Riccardo Poli and 
                 Shaheen Fatima",
  journal =      "Memetic Computing",
  year =         "2009",
  number =       "3",
  volume =       "1",
  pages =        "205--219",
  keywords =     "genetic algorithms, genetic programming, timetabling,
                 Hyper-heuristics, Heuristics",
  DOI =          "doi:10.1007/s12293-009-0022-y",
  bibdate =      "2009-12-11",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/memetic/memetic1.html#Bader-El-DenPF09",
  abstract =     "This paper introduces a Grammar-based Genetic
                 Programming Hyper-Heuristic framework (GPHH) for
                 evolving constructive heuristics for timetabling. In
                 this application GP is used as an online learning
                 method which evolves heuristics while solving the
                 problem. In other words, the system keeps on evolving
                 heuristics for a problem instance until a good solution
                 is found. The framework is tested on some of the most
                 widely used benchmarks in the field of exam timetabling
                 and compared with the best state-of-the-art approaches.
                 Results show that the framework is very competitive
                 with other constructive techniques, and did outperform
                 other hyper-heuristic frameworks on many occasions.",
}

Genetic Programming entries for Mohamed Bahy Bader-El-Den Riccardo Poli Shaheen Fatima

Citations