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» A Utile Function Optimizer
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RAS
2000
136views more  RAS 2000»
15 years 6 months ago
A comparative study of soft-computing methodologies in identification of robotic manipulators
This paper investigates the identification of nonlinear systems by utilizing soft-computing approaches. As the identification methods, Feedforward Neural Network architecture (FNN...
Mehmet Önder Efe, Okyay Kaynak
ATAL
2009
Springer
15 years 11 months ago
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Ivan Marsá-Maestre, Miguel A. López-...
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
RTSS
2005
IEEE
16 years 19 days ago
Tardiness Bounds under Global EDF Scheduling on a Multiprocessor
We consider the scheduling of a sporadic real-time task system on an identical multiprocessor. Though Pfair algorithms are theoretically optimal for such task systems, in practice...
UmaMaheswari C. Devi, James H. Anderson
200
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AMEC
2004
Springer
16 years 14 days ago
A Budget-Balanced, Incentive-Compatible Scheme for Social Choice
Abstract. Many practical scenarios involve solving a social choice problem: a group of self-interested agents have to agree on an outcome that best fits their combined preferences...
Boi Faltings