Survey paper on adaptive agents applied to advanced planning and scheduling
by Donna M. Ehrlich, Jeff A. Ehrlich
International Journal of Engineering Management and Economics (IJEME), Vol. 1, No. 2/3, 2010

Abstract: This research investigates the study of the concept of adaptation as a foundation to guide management in creating a planning and scheduling system. The review paper identifies theories that are being studied in relation to the process of adaptation using genetic algorithms as well as adaptive agents in the natural and social sciences. The survey paper will begin with the definition of terms used to understand the concepts of adaptation. The terms are not new, but the definitions will include a correlation to the relevance within the adaptation survey paper. The terms identify the concepts of adaptation in relation to the natural and artificial systems. The survey paper will discuss the studies completed in natural physical sciences. Scientists are re-evaluating theories about the universe. In doing so, modern scientists are discovering new theories. The concepts are applied to the social sciences involving humans as the acting agents. The adaptation theories will be reviewed within the organisational development of a business specifically, planning and scheduling. The research paper will identify specific areas where the use of the discoveries is necessary in the economic environment and how the theories are relevant to the activities occurring within the business unit.

Online publication date: Thu, 18-Nov-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Engineering Management and Economics (IJEME):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com