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SPAA
2010
ACM
14 years 15 days ago
Parallel approximation algorithms for facility-location problems
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
Guy E. Blelloch, Kanat Tangwongsan
GPEM
2010
89views more  GPEM 2010»
13 years 6 months ago
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm
Abstract With current developments of parallel and distributed computing, evolutionary algorithms have benefited considerably from parallelization techniques. Besides improved com...
Ting Hu, Simon Harding, Wolfgang Banzhaf
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
BMCBI
2011
12 years 11 months ago
Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing
Background: Next-generation sequencing (NGS) offers a unique opportunity for high-throughput genomics and has potential to replace Sanger sequencing in many fields, including de-n...
Mattia C. F. Prosperi, Luciano Prosperi, Alessandr...
FSS
2010
147views more  FSS 2010»
13 years 6 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz