S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Industrial Engineering (산업공학과) Journal Papers (저널논문_산업공학과)
Evolutionary optimization of a technological knowledge network
- Shin, Juneseuk; Park, Yongtae
- ELSEVIER SCIENCE BV
- TECHNOVATION; Vol.30 11-12; 612-626
- Knowledge networks have two contradicting demands increasing flow and decreasing cost Maximizing the sum of these demands will result in an optimized network On the basis of the evolutionary optimization algorithm we suggest a quantitative way to produce an optimized technological knowledge network where optimality is defined as the maximization of overall benefit Applied to Korea s ICT network such a network results in a total knowledge flow increase of up to 75% in absolute measures and 150% with due regard to cost Our result supports the notion that self-organizing networks can be far from optimal and thus active intervention by policymakers or managers is necessary to take full advantage of the potential benefits Finally with clear-cut suggestions about where to add new links and remove old ones according to potential benefits this study sheds light on future policies with regard to evolutionary technology networks (C) 2010 Elsevier Ltd All rights reserved
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