Cart (Loading....) | Create Account
Close category search window
 

A study on investment decision making model: genetic algorithms approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Wen-Shiu Lin ; Dept. of Inf. Manage., Nat. Central Univ., Chung-Li, Taiwan ; Jiah-Shing Chen ; Ping-Chen Lin

Genetic algorithms (GAs) are becoming a paramount research method because of their robustness due to mimicking the natural evolution mechanism. Genetic algorithms can easily learn to adapt to complex environments. The paper studies the application of genetic algorithms on a user-oriented “investment decision-making model”. The portfolio selection considers users' preferences in addition to the common return and risk factors. Preliminary results show that the portfolios generated by GAs outperform some of the better mutual funds and the index

Published in:

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on  (Volume:1 )

Date of Conference:

1999

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.