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» Genetic Algorithms for Component Analysis
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JUCS
2006
112views more  JUCS 2006»
15 years 3 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
EVOW
2007
Springer
15 years 9 months ago
Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling
In this paper we study a complex real-world workforce scheduling problem. We propose a method of splitting the problem into smaller parts and solving each part using exhaustive sea...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
BMCBI
2005
144views more  BMCBI 2005»
15 years 3 months ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
151
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ISNN
2007
Springer
15 years 9 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek