Sciweavers

529 search results - page 8 / 106
» Population Training Heuristics
Sort
View
IJON
2006
100views more  IJON 2006»
13 years 10 months ago
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the syste...
Christopher J. Rozell, Don H. Johnson
OR
2007
Springer
13 years 9 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
Francisco de Assis Corrêa, Antonio Augusto C...
EACL
2006
ACL Anthology
13 years 11 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
HAIS
2009
Springer
14 years 2 months ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 2 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...