Illinois Genetic Algorithms Laboratory

Goldberg, D. E., Welge, M., Llorà, X. (2003)
TR No.: 2003017 | Download PDF | Download PS

Abstract:
A key challenge facing modern organizations and their leaders is the need for rapid innovation in response to complex circumstances and rapidly
changing events. The modern organization may have vast amounts of data, knowledge, and expertise to address problems and opportunities at hand, but the sheer quantity, uncertainty, and spatial distribution of those resources may thwart effective solution. This paper summarizes the goals of a project called DISCUS (Distributed Innovation and Scalable Collaboration in Uncertain Settings) to create a distributed and scalable environment for the integration of both human-based and computer-generated knowledge in uncertain settings. The project represents a kind of innovation support system (ISS) that relies on both human-human and human-machine collaboration. The paper outlines how an one ISS effectively integrates a number of tools: human-based genetic algorithms (GAs), interactive GAs, competent GAs, flexible data, text, and image mining, and chance discovery. The paper concludes by briefly discussing and displaying results from a pilot test of DISCUS.