Autonomous photogrammetric network design based on changing environment genetic algorithms

2008 ◽  
Author(s):  
Jian Yang ◽  
Nai-Guang Lu ◽  
Mingli Dong
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Changing Environment

Survivable wavelength-routed optical network design using genetic algorithms

2008 ◽  
Vol 19 (3) ◽  
pp. 247-255 ◽  
Author(s):  
Y. S. Kavian ◽  
W. Ren ◽  
M. Naderi ◽  
M. S. Leeson ◽  
E. L. Hines
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Optical Network ◽  
Optical Network Design

Frontiers for Networks for Social Impact

2021 ◽  
pp. 217-232
Author(s):  
Michelle Shumate ◽  
Katherine R. Cooper
Keyword(s):  
Network Design ◽  
Social Problem ◽  
Social Impact ◽  
Systems Approach ◽  
Social Issues ◽  
Changing Environment ◽  
Research And Practice ◽  
Science Approach ◽  
Do So

The final chapter synthesizes arguments from the book. We offer a systems approach that integrates the configuration and processes approaches, addressing the possible network designs needed for success and how the system must adapt to a changing environment. We do so by unpacking the axioms that underly our approach, integrating material from the rest of the book. We draw several implications for research and practice. We advocate a solution-science approach to the study of social impact networks. We argue that researchers need to test interventions to improve networks’ social impact and communicate the results widely. We contend that both funders and network instigators should pay attention to the nature of social issues (i.e., simple, complicated, complex, and chaotic) when writing requests for proposals and selecting a network design. The match between the type of social problem and the network design is critical to achieving social impact. We end the chapter with optimism and urgency. Not only do we think networks can be impactful if designed and managed well, but we also believe they must be impactful to address the most challenging issues of our time.

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