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ICAC
2009
IEEE
15 years 5 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
97
Voted
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 3 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
99
Voted
EGC
2005
Springer
15 years 3 months ago
A Service Oriented Architecture for Decision Making in Engineering Design
Abstract. Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithm...
Alex Shenfield, Peter J. Fleming
SETN
2010
Springer
15 years 2 months ago
Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Em...
87
Voted
ICAC
2006
IEEE
15 years 4 months ago
The Making of SimEAC
— In this short paper, we give a brief overview a simulation environment, SimEAC, which was designed for testing algorithms with strong autonomic features. SimEAC enables a user ...
David Chisnall, Min Chen