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Sajja, P. S., Akerkar, R., & Camacho, D. (2009). Automatic evolution of ideas through multilayer evolutionary system to support creative thinking. International Journal of Computer Science & Information Technology, 1(1), 27–38. 
Added by: Mark Grimshaw-Aagaard (8/1/22, 10:54 AM)   Last edited by: Mark Grimshaw-Aagaard (8/1/22, 11:00 AM)
Resource type: Journal Article
Peer reviewed
BibTeX citation key: Sajja2009
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Categories: AI/Machine Learning
Keywords: Creativity
Creators: Akerkar, Camacho, Sajja
Collection: International Journal of Computer Science & Information Technology
Views: 5/5
Abstract
"Creativity is a tool that helps in effective problem solving utilizing optimum scarce resources in any
business. This paper presents a conceptual framework of a multilayer evolutionary system that supports
creative thinking. The system evolves, using a genetic algorithm, new ideas from a set of basic ideas that
are casually provided through an interactive editor or selected from past transaction records. The
architecture proposed here encompasses three layers called system layer, database layer, and query
producer and user interface layer. Besides the general architecture, the paper also describes the detailed
methodology, genetic procedure to evolve ideas, reproduction operators like modified mutation, cross
over and selection; and fitness functions to evolve suitable and strong ideas. The system layer further
describes algorithm of stimulus-generation process. The proposed architecture is easy to develop,
generic, domain independent and works with databases, which increases scope and usability of the
system. Above all, the interactive user interface makes the system friendly and easy to operate."
  
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