The Everyday Engineering of Organizational and Engineering Innovation

摘要

This paper discusses how the routine study of the theory and design of genetic algorithms (GAs) has led to a number of unexpected results. Specifically, the paper considers how GA theory and design has led to (1) the design of genetic algorithms that solve hard problems quickly, reliably, and accurately, (2) a system for collaborative innovation, (3) methods for designing organizations more effectively, (4) GAs based on effective clustering in organizations, and (5) an extensible family of facetwise organizational models.