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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
IJAIT
2010
167views more  IJAIT 2010»
14 years 8 months ago
Bee Colony Optimization with Local Search for Traveling Salesman Problem
Many real world industrial applications involve finding a Hamiltonian path with minimum cost. Some instances that belong to this category are transportation routing problem, scan c...
Li-Pei Wong, Malcolm Yoke-Hean Low, Chin Soon Chon...
GLOBECOM
2009
IEEE
15 years 4 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
14 years 4 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto
DELTA
2006
IEEE
15 years 1 months ago
Using Design Patterns to Overcome Image Processing Constraints on FPGAs
The mapping of image processing algorithms to hardware is complicated by several hardware constraints including limited processing time, limited access to data and limited resourc...
K. T. Gribbon, Donald G. Bailey, Christopher T. Jo...