Abstract
This chapter explores the nature of innovation from the perspectives of evolutionary computation principles. So far, the disciplines of innovation have been mainly discussed in management science literature, however, some of the recent articles address the transdisciplinary characteristic of innovation-related issues from system science standpoints. In such discussions, evolutionary computation, which is a flexible but strong computational methodology inspired by biological evolution, has had one of the major roles to explain the disruptive innovation phenomena in new businesses, organizations, or new products. This chapter surveys the ideas of innovation with evolutionary computation from management, computer, system, and biological sciences. Then it discusses the system requirements for open or free innovation. The chapter concludes some comments on the strategies to accelerate the technical innovation processes.
Adapted from Takao Terano “Evolutionary Computation Approach to Understand Mechanisms of Interdisciplinary Innovation (written in Japanese),” Journal of The Society of Instrument and Control Engineers, Vol. 55, No. 8, pp. 692–697 (2016). Partly translated by permission of The Society of Instrument and Control Engineers.
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Terano, T. (2021). Understanding Disruptive Innovation Through Evolutionary Computation Principles. In: Kaihara, T., Kita, H., Takahashi, S. (eds) Innovative Systems Approach for Designing Smarter World. Springer, Singapore. https://doi.org/10.1007/978-981-15-6651-6_9
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