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» Locating phase transitions in computationally hard problems
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CEC
2003
IEEE
14 years 25 days ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
DAC
2010
ACM
13 years 7 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
ICSE
2010
IEEE-ACM
13 years 9 months ago
Efficient hybrid typestate analysis by determining continuation-equivalent states
Typestate analysis determines whether a program violates a set of finite-state properties. Because the typestate-analysis problem is statically undecidable, researchers have propo...
Eric Bodden
LCN
2003
IEEE
14 years 24 days ago
New Metrics for Dominating Set Based Energy Efficient Activity Scheduling in Ad Hoc Networks
In a multi-hop wireless network, each node is able to send a message to all of its neighbors that are located within its transmission radius. In a flooding task, a source sends th...
Jamil A. Shaikh, Julio Solano-González, Iva...
SAC
2004
ACM
14 years 29 days ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley