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GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 1 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
PPOPP
2003
ACM
14 years 22 days ago
Optimizing data aggregation for cluster-based internet services
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
ECML
2007
Springer
14 years 1 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
CLUSTER
2001
IEEE
13 years 11 months ago
Parallel Standard Cell Placement on a Cluster of Workstations
In this paper we report experiences on a parallel implementation of a standard cell placement algorithm on a cluster of myrinet connected PCs. The proposed algorithm is based on a...
Faris H. Khundakjie, Patrick H. Madden, Nael B. Ab...
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 1 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...