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» Approaching Optimality for Solving SDD Linear Systems
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 11 months ago
Multiplicative approximations and the hypervolume indicator
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tobias Friedrich, Christian Horoba, Frank Neumann
FPGA
1997
ACM
127views FPGA» more  FPGA 1997»
15 years 8 months ago
General Modeling and Technology-Mapping Technique for LUT-Based FPGAs
We present a general approach to the FPGA technology mapping problem that applies to any logic block composed of lookup tables LUTs and can yield optimal solutions. The connecti...
Amit Chowdhary, John P. Hayes
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 10 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 8 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
ICPP
1998
IEEE
15 years 8 months ago
Supporting Software Distributed Shared Memory with an Optimizing Compiler
To execute a shared memory program efficiently, we have to manage memory consistency with low overheads, and have to utilize communication bandwidth of the platform as much as pos...
Tatsushi Inagaki, Junpei Niwa, Takashi Matsumoto, ...