Application of Genetic Programming to Finance and Operations Management

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@PhdThesis{kleinau:thesis,

• author = "Peer Kleinau",
• title = "Application of Genetic Programming to Finance and Operations Management",
• school = "University of Muenster",
• year = "2003",
• address = "Germany",
• email = "peer.kleinau@gmx.de",
• keywords = "genetic algorithms, genetic programming, inventory control, option pricing, credit risk",
• abstract = "In this work the application of Genetic Programming to three common problems arising in the context of Business Administration is analysed. Genetic Programming is based on the basic principles of natural evolution. It adapts some common features of Genetic Algorithms, such as selection, crossover, and mutation. In contrast to Genetic Algorithms which use strings of fixed length, Genetic Programming operates on variable tree structures that make the algorithm capable to solve a great variety of problems. Numerous instructions are given how researchers can develop useful applications in Business Administration with Genetic Programming. In the context of option pricing, Genetic Programming can develop formulae that provide better results than the famous Black and Scholes model. In rating experiments, rating classification simulators are found which give meaningful insights into Standard and Poor s rating assignments. In studies related to the topic of inventory control, Genetic Programming finds both optimal inventory control policies for problems with a low complexity and specialised heuristics for complex problems which are comparable or even better than state-of-the-art heuristics.",
• notes = "published as \cite{kleinau:thesis_book}",

}

Genetic Programming entries for Peer Kleinau

Citations