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» Techniques for Optimization of Net Algorithms
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125
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ICTAI
2009
IEEE
15 years 10 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
135
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ALIFE
2002
15 years 3 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
150
Voted
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 9 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
124
Voted
FCCM
2006
IEEE
113views VLSI» more  FCCM 2006»
15 years 9 months ago
GraphStep: A System Architecture for Sparse-Graph Algorithms
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
Michael DeLorimier, Nachiket Kapre, Nikil Mehta, D...
128
Voted
DATE
2000
IEEE
89views Hardware» more  DATE 2000»
15 years 8 months ago
A System-Level Synthesis Algorithm with Guaranteed Solution Quality
Recently a number of heuristic based system-level synthesis algorithms have been proposed. Though these algorithms quickly generate good solutions, how close these solutions are t...
U. Nagaraj Shenoy, Prithviraj Banerjee, Alok N. Ch...