Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Jing Xie and Yi Mei and Andy Song",
  title =        "Evolving Self-Adaptive Tabu Search Algorithm for
                 Storage Location Assignment Problems",
  booktitle =    "GECCO 2015 Late-Breaking Abstracts",
  year =         "2015",
  editor =       "Dirk Sudholt",
  isbn13 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "779--780",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739482.2764896",
  DOI =          "doi:10.1145/2739482.2764896",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This study proposes a novel grammar guided Genetic
                 Programming method to solve a real world problem, the
                 Storage Location Assignment Problem (SLAP) with
                 Grouping Constraints. Self-adaptive Tabu Search
                 algorithms are evolved by this approach and it can be
                 used as solvers for SLAPs. A novel self-adaptive Tabu
                 Search framework is proposed that key configurations of
                 the algorithm are determined based on the
                 problem-specific characters, and these configurations
                 are changed dynamically during the search process. In
                 addition, both the quality of the solutions and the
                 execution speed are considered in the evaluation
                 function. The experimental results show that more
                 efficient Tabu Search algorithms can be found by this
                 approach comparing to a manually-designed Tabu Search
  notes =        "Also known as \cite{2764896} Distributed at

Genetic Programming entries for Jing Xie Yi Mei Andy Song