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» Particle Swarm Optimization Using Adaptive Mutation
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AEI
2005
99views more  AEI 2005»
15 years 5 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 10 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...
TFS
2008
157views more  TFS 2008»
15 years 5 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ASC
2011
15 years 24 days ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
SAB
2004
Springer
182views Optimization» more  SAB 2004»
15 years 11 months ago
The SWARM-BOTS Project
This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustr...
Marco Dorigo, Elio Tuci, Roderich Groß, Vito...