GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system

In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capable of sending buyers discount food offers through mobile phone text messaging technology. Pizza sellers will be able to easily purchase pizza sales offers that will then be sent only to a relevant sub-group of users. A component of MRDCOM, GAINS, is an offline genetic algorithm (GA) learning component designed to model the offers that are accepted. The rule set derived from the GA component will be used to raise user satisfaction by sending offers to users most likely to accept them. GAINS is expected to increase the accepted offer rate will provide economic benefits for students, pizza sellers, and the administrators of the MRDCOM system. Categories and Subject Descriptors I.2.6[Artificial Intelligence]: Learning. General Terms Algorithms, Design, Economics, Experimentation, Human Factors. Keywords food, Gene...

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Michael Henry Wolk
• Keywords: GECCO 2007, Genetic Algorithms, Pizza, Pizza Sellers