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GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
16 years 10 days ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
EUSFLAT
2003
121views Fuzzy Logic» more  EUSFLAT 2003»
15 years 8 months ago
An adaptive learning algorithm for a neo fuzzy neuron
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
Yevgeniy Bodyanskiy, Illya Kokshenev, Vitaliy Kolo...
ALGORITHMICA
2010
112views more  ALGORITHMICA 2010»
15 years 7 months ago
Approximation Algorithms for Treewidth
Abstract. This paper presents algorithms whose input is an undirected graph, and whose output is a tree decomposition of width that approximates the optimal, the treewidth of that ...
Eyal Amir
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
15 years 7 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru
ICMCS
2006
IEEE
119views Multimedia» more  ICMCS 2006»
16 years 26 days ago
Optimal Error Protection of Progressively Compressed 3D Meshes
Given a number of available layers of source data and a transmission bit budget, we propose an algorithm that determines how many layers should be sent and how many protection bit...
Shakeel Ahmad, Raouf Hamzaoui