Sciweavers

57 search results - page 4 / 12
» A Multi-objective Genetic Approach to Mapping Problem on Net...
Sort
View
PPSN
2004
Springer
14 years 27 days ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
13 years 11 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
TNN
1998
76views more  TNN 1998»
13 years 7 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett
IJON
2008
177views more  IJON 2008»
13 years 7 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
HIPC
2009
Springer
13 years 5 months ago
Three scalable approaches to improving many-core throughput for a given peak power budget
Recently proposed techniques for peak power management [18] involve centralized decisionmaking and assume quick evaluation of the various power management states. These techniques...
John Sartori, Rakesh Kumar