@inproceedings{86b732d4816d44dba18254ce9acdaf55,
title = "An optimal coalition formation among buyer agents based on a genetic algorithm",
abstract = "Group buyingisaformofelectronic commerce thatisgrowingquickly. There are many group buying sites on the Internet. Group buying is a commercial transaction in which the unit price of goods changes with the number of buyers, and a buyer can purchase goods at a low price if many buyers participate in group buying. There are several group-buying sites that are selling similar (or the same) goods. Buyers are often distributed among these group-buying sites non-optimally. If we can optimally allocate buyers to several group buying sites, all buyers can buy a good at a lower price. possible that a participant can purchase the target or the simThe aim of this paper is to solve this optimal allocation problem by a Genetic Algorithm. Our method can effectively avoid the growth of fatal genes. In experiments, we compared our method with an exhaustive search algorithm and a brute search algorithm. The experimental results show that our algorithm can optimally allocate buyers in an efficient time.",
keywords = "Electronic commerce, Genetic algorithms, Group buying, Internet applications",
author = "Masaki Hyodo and Tokuro Matsuo and Takayuki Ito",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 ; Conference date: 23-06-2003 Through 26-06-2003",
year = "2003",
doi = "10.1007/3-540-45034-3\_77",
language = "English",
isbn = "3540404554",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "759--767",
editor = "Chung, \{Paul W. H.\} and Chris Hinde and Moonis Ali",
booktitle = "Developments in Applied Artificial Intelligence",
address = "Germany",
}