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AMC
2007
154views more  AMC 2007»
13 years 9 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 1 months ago
Evolutionary optimization of flavors
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...
CEC
2010
IEEE
13 years 10 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 3 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
EAAI
2007
103views more  EAAI 2007»
13 years 8 months ago
Particle swarm-based optimal partitioning algorithm for combinational CMOS circuits
This paper presents a swarm intelligence based approach to optimally partition combinational CMOS circuits for pseudoexhaustive testing. The partitioning algorithm ensures reducti...
Ganesh K. Venayagamoorthy, Scott C. Smith, Gaurav ...