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114
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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 9 months ago
Information landscapes and the analysis of search algorithms
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
Yossi Borenstein, Riccardo Poli
110
Voted
ISDA
2005
IEEE
15 years 9 months ago
Managing of Cooperative Genetic Algorithms by Intelligent Agent
Genetic Algorithms (GAs) are very popular optimization tool, although efficient applications of GAs requires users have problem with setting their parameters and used genetic ope...
Halina Kwasnicka, Magdalena Gierusz
131
Voted
CIBCB
2007
IEEE
15 years 7 months ago
Hybrid Architecture for Accelerating DNA Codeword Library Searching
-- A large and reliable DNA codeword library is the key to the success of DNA based computing. Searching for the set of reliable DNA codewords is an NP-hard problem, which can take...
Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre
125
Voted
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 9 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
134
Voted
CEC
2008
IEEE
15 years 10 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...