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CEC
2008
IEEE
14 years 2 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
CLUSTER
2008
IEEE
14 years 2 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
GCB
1997
Springer
77views Biometrics» more  GCB 1997»
14 years 5 days ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron
DEXAW
2010
IEEE
150views Database» more  DEXAW 2010»
13 years 9 months ago
Search Strategies for Keyword-based Queries
Given a set of keywords, we find a maximum Web query (containing the most keywords possible) that respects userdefined bounds on the number of returned hits. We assume a real-world...
Matthias Hagen, Benno Stein
ACSW
2004
13 years 9 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang