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» On the Convergence of Immune Algorithms
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GECCO
2004
Springer
128views Optimization» more  GECCO 2004»
15 years 12 months ago
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
COMPSAC
2002
IEEE
15 years 11 months ago
Parallel Genetic Algorithms with Schema Migration
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptn...
Baowen Xu, Yu Guan, Zhenqiang Chen, Karl R. P. H. ...
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
15 years 11 months ago
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
This paper presents results of the BBOB-2009 benchmarking of 31 search algorithms on 24 noiseless functions in a black-box optimization scenario in continuous domain. The runtime ...
Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen ...
EUSFLAT
2007
150views Fuzzy Logic» more  EUSFLAT 2007»
15 years 8 months ago
Competitive Self-adaptation in Evolutionary Algorithms
Heuristic search for the global minimum is studied. This paper is focused on the adaptation of control parameters in differential evolution (DE) and in controlled random search (...
Josef Tvrdík, Ivan Krivý
UAI
2003
15 years 7 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman