Optimizing Online Auction Bidding Strategies Using Genetic Programming

The research presented in this paper is concerned with creating optimal bidding strategies for online auctions. At present time online auctions, that are very popular today, have not been given proper attention. The strategies created using genetic programming were tested in an auction simulation environment in order to determine their strength. This paper describes the experimental setup, the online auction simulation environment, and the genetic programming approach to developing bidding strategies. It also gives a brief introduction to auction theory and genetic programming. The last section of the paper discusses possible reasons for why the current setup failed to produce optimal bidding strategies.