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CEC
2008
IEEE
16 years 1 months ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...
FOCS
2008
IEEE
16 years 1 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
ICC
2007
IEEE
16 years 1 months ago
Turbo Multiuser Detection Based on Local Search Algorithms
—The full-complexity soft-input/soft-output (SISO) multiuser detector based on the a posteriori probability (APP) algorithm has a computational complexity growing exponentially w...
Zhiliang Qin, Kui Cai, Xiaoxin Zou
HICSS
2006
IEEE
143views Biometrics» more  HICSS 2006»
16 years 24 days ago
Assessment of Enterprise Information Security - The Importance of Information Search Cost
There are today several methods and standards available for assessment of the level of information security in an enterprise. A problem with these assessment methods is that they ...
Erik Johansson, Mathias Ekstedt, Pontus Johnson
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
16 years 8 days 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