High-Level Object Oriented Genetic Programming in Logistic Warehouse Optimization

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

  author =       "Jan Karasek",
  title =        "High-Level Object Oriented Genetic Programming in
                 Logistic Warehouse Optimization",
  school =       "Department of Telecommunications, Brno University of
  year =         "2014",
  address =      "Czech Republic",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Intelligence, Evolutionary Algorithms, Logistics,
                 Optimization Techniques, Warehouse Management Systems",
  URL =          "https://www.vutbr.cz/en/studies/final-thesis?zp_id=76864",
  URL =          "https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81279.pdf",
  URL =          "https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81279",
  URL =          "https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81310",
  URL =          "https://www.vutbr.cz/www_base/zav_prace_soubor_verejne.php?file_id=81309",
  size =         "183 pages",
  abstract =     "This work is focused on the work-flow optimization in
                 logistic warehouses and distribution centres. The main
                 aim is to optimize process planning, scheduling, and
                 dispatching. The problem is quite accented in recent
                 years. The problem is of NP hard class of problems and
                 where is very computationally demanding to find an
                 optimal solution. The main motivation for solving this
                 problem is to fill the gap between the new optimization
                 methods developed by researchers in academic world and
                 the methods used in business world. The core of the
                 optimization algorithm is built on the genetic
                 programming driven by the context-free grammar. The
                 main contribution of the thesis is a) to propose a new
                 optimization algorithm which respects the makespan, the
                 loading, and the congestions of aisles which may occur,
                 b) to analyse historical operational data from
                 warehouse and to develop the set of benchmarks which
                 could serve as the reference baseline results for
                 further research, and c) to try outperform the baseline
                 results set by the skilled and trained operational
                 manager of the one of the biggest warehouses in the
                 middle Europe.",
  notes =        "file_id=81310 is zip of code

                 file_id=81309 is 42 page version

                 Supervisor: Radim Burget",

Genetic Programming entries for Jan Karasek