Date of Award
2008
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Engineering, Automotive.
Supervisor
Kent, Robert (School of Computer Science)
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Cultural Algorithms (CA) offers a better way to simulate social and culture driven agents by introducing the notion of culture into the artificial population. When it comes to mimic intelligent social beings such as humans, the search for a better fit or global optima becomes multi dimensional because of the complexity produced by the relevant system parameters and intricate social behaviour. In this research an extended CA framework has been presented. The architecture provides extensions to the basic CA framework. The major extensions include the mechanism of influencing selected individuals into the population space by means of existing social network and consequently alter the cultural belief favourably. Another extension of the framework was done in the population space by introducing the concept of social network. The agents in the population are put into one (or more) network through which they can communicate and propagate knowledge. Identification and exploitation of such network is necessary sinceit may lead to a quicker shift of the cultural norm.
Recommended Citation
Rahaman, Shamual F., "Intervention in the social population space of Cultural Algorithm" (2008). Electronic Theses and Dissertations. 2491.
https://scholar.uwindsor.ca/etd/2491