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ICMLC
2005
Springer
13 years 11 months ago
Evolutionary Synthesis of Micromachines Using Supervisory Multiobjective Interactive Evolutionary Computation
A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, a...
Raffi R. Kamalian, Ying Zhang, Hideyuki Takagi, Al...
SAC
2002
ACM
13 years 5 months ago
An evolutionary algorithm for reducing integrated-circuit test application time
The cost for testing integrated circuits represents a growing percentage of the total cost for their production. The former strictly depends on the length of the test session, and...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 10 days ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 6 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
ISSTA
2004
ACM
13 years 11 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...