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» Relaxed genetic programming
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POPL
2009
ACM
15 years 5 months ago
The semantics of power and ARM multiprocessor machine code
We develop a rigorous semantics for Power and ARM multiprocessor programs, including their relaxed memory model and the behaviour of reasonable fragments of their instruction sets...
Jade Alglave, Anthony C. J. Fox, Samin Ishtiaq, Ma...
BMCBI
2006
109views more  BMCBI 2006»
14 years 10 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
14 years 9 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
JUCS
2006
135views more  JUCS 2006»
14 years 10 months ago
Automatic Programming Methodologies for Electronic Hardware Fault Monitoring
: This paper presents three variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling o...
Ajith Abraham, Crina Grosan
IPSN
2010
Springer
15 years 5 months ago
Distributed genetic evolution in WSN
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aï¬...
Philip Valencia, Peter Lindsay, Raja Jurdak