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ICMLA
2004
13 years 9 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
LCN
2003
IEEE
14 years 29 days ago
Regional Gossip Routing for Wireless Ad Hoc Networks
Abstract—Many routing protocols have been proposed for wireless ad hoc networks, and most of them are based on some variants of flooding. Thus many routing messages are propagat...
Xiang-Yang Li, Kousha Moaveninejad, Ophir Frieder
CIAC
2000
Springer
105views Algorithms» more  CIAC 2000»
14 years 1 days ago
Algorithms for a Simple Point Placement Problem
We consideralgorithms for a simple one-dimensionalpoint placement problem: given N points on a line, and noisy measurements of the distances between many pairs of them, estimate th...
Joshua Redstone, Walter L. Ruzzo
CVPR
2008
IEEE
14 years 9 months ago
Smoothing-based Optimization
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Marius Leordeanu, Martial Hebert
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
14 years 1 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...