- author = "Peer Kleinau",
- title = "Deriving simple (R,T)-policies with Genetic Programming",
- booktitle = "Fifth metaheuristics conference, MIC2003",
- year = "2003",
- editor = "Toshihide Ibaraki",
- address = "Kyoto, Japan",
- month = "25-28 " # aug,
- keywords = "genetic algorithms, genetic programming, inventory-control, (R,T)-policy",
-
URL = "
http://to.zakachate.ru/tw_files2/urls_29/427/d-426814/7z-docs/10.pdf",
- size = "8 pages",
- abstract = "In the US, inventories are estimated to be worth of more than 1 trillion. To manage these inventories, numerous inventory-control policies have been developed in the last decades. These inventory-control policies are typically derived analytically, which is often complicated and time consuming. For many relevant settings, such as complex multi-echelon models, there exist no closed-form formulae to describe the optimal solution. Optimal solutions for those problems are determined by complex algorithms that require several iteration steps. With Genetic Programming (GP) however, inventory-control policies can be derived in a simple manner. GP is an algorithm related to Genetic Algorithms. It applies the principles of natural evolution to solve optimization problems. In this paper, we show how a simple closed-form heuristics for a common inventory-control setting can be derived with GP. We focus on a simple (R,T)-policy to demonstrate the capabilities of GP.",
-
notes = "published on CD-ROM. Selected papers in special issue?
mic03-office@amp.i.kyoto-u.ac.jp
broken Jan 2013 http://www-or.amp.i.kyoto-u.ac.jp/mic2003/index.html",
