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» Scalability of an MPI-based fast messy genetic algorithm
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SAC
1998
ACM
13 years 9 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
ICGA
1997
133views Optimization» more  ICGA 1997»
13 years 6 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 10 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
PDPTA
2008
13 years 6 months ago
A Genetic Algorithm Based Dynamic Load Balancing Scheme for Heterogeneous Distributed Systems
- Load balancing is a crucial issue in parallel and distributed systems to ensure fast processing and optimum utilization of computing resources. Load balancing strategies try to e...
Bibhudatta Sahoo, Sudipta Mohapatra, Sanjay Kumar ...
JMLR
2012
11 years 7 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell