Automatic Evolution of Ideas through Multilayer Evolutionary System to Support Creative Thinking

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.