- author = "Jan Karasek",
- title = "High-Level Object Oriented Genetic Programming in Logistic Warehouse Optimization",
- school = "Department of Telecommunications, Brno University of Technology",
- year = "2014",
- address = "Czech Republic",
- keywords = "genetic algorithms, genetic programming, Artificial Intelligence, Evolutionary Algorithms, Logistics, Optimization Techniques, Warehouse Management Systems",
-
broken_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",
-
code_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",
