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» Optimizing for Reduced Code Space using Genetic Algorithms
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CEC
2007
IEEE
15 years 6 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...
GLOBECOM
2007
IEEE
15 years 8 months ago
Maximum Likelihood Detection and Optimal Code Design for Differential Unitary Space-Time Modulation with Carrier Frequency Offse
Abstract— In this paper, we answer the question that “Can conventional differential unitary space time modulation (DUSTM) be applied when there is an unknown carrier frequency ...
Tao Cui, Feifei Gao, Arumugam Nallanathan, Chintha...
ERSA
2010
152views Hardware» more  ERSA 2010»
14 years 12 months ago
Persistent CAD for in-the-field Power Optimization
A major focus within the Integrated Chip (IC) industry is reducing power consumption of devices. In this paper, we explore the idea of persistent CAD algorithms that constantly imp...
Peter Jamieson
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 3 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
CLUSTER
2008
IEEE
15 years 8 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