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» Embedded core testing using genetic algorithms
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ICALP
2001
Springer
15 years 7 months ago
Permutation Editing and Matching via Embeddings
Abstract. If the genetic maps of two species are modelled as permutations of (homologous) genes, the number of chromosomal rearrangements in the form of deletions, block moves, inv...
Graham Cormode, S. Muthukrishnan, Süleyman Ce...
123
Voted
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
15 years 9 months ago
Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments
— This paper describes the system architecture and core algorithms for a quadrotor helicopter that uses vision data to navigate an unknown, indoor, GPS-denied environment. Withou...
Spencer Ahrens, Daniel Levine, Gregory Andrews, Jo...
IADIS
2008
15 years 4 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
ICCD
2008
IEEE
111views Hardware» more  ICCD 2008»
16 years 3 days ago
Test-access mechanism optimization for core-based three-dimensional SOCs
— Test-access mechanisms (TAMs) and test wrappers (e.g., the IEEE Standard 1500 wrapper) facilitate the modular testing of embedded cores in a core-based system-on-chip (SOC). Su...
Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yua...
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 8 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher