|Chapter title||Genetic commerce: intelligent share trading|
|Editors||Sloot, P.M.A., Tan, C.J.K., Dongarra, J. and Hoekstra, A.G.|
In time, it seems feasible that genetic algorithms will help to achieve similar levels of productivity gains in many service domains as has been achieved in line and, more recently, batch manufacture. And e-commerce will embody the standards and guidelines necessary to enable managers to make the most of the possibilities offered by this development. It will help them to both satisfy and retain the custom of their clients; and make it possible to operate in a highly efficient and effective manner. The paper discusses the nature of these changes and it assesses some of their implications for organisations and their management. It introduces the concept of intelligent share trading; a future manifestation of these developments. And it talks about the important role artificial intelligence, particularly genetic algorithms, will play in these systems.
|Book title||Proceedings of the International Conference on Computational Science|
|Place of publication||Berlin, Germany|
|Series||Lecture notes in computer science|
|Web address (URL)||http://www.springerlink.com/content/c6qeyfuh5q29r5ug/fulltext.pdf|
|Journal citation||3 (2331), pp. 1032-1041|