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ICANN
2007
Springer
14 years 3 months ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
ISCI
2010
128views more  ISCI 2010»
13 years 7 months ago
Robust static output feedback controller synthesis using Kharitonov's theorem and evolutionary algorithms
This paper presents a simple but effective tuning strategy for robust static output feedback (SOF) controllers with minimal quadratic cost in the context of multiple parametric un...
Rosario Toscano, Patrick Lyonnet
ICCS
2004
Springer
14 years 2 months ago
Evolutionary State Assignment for Synchronous Finite State Machines
: Synchronous finite state machines are very important for digital sequential designs. Among other important aspects, they represent a powerful way for synchronizing hardware comp...
Nadia Nedjah, Luiza de Macedo Mourelle
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
14 years 27 days ago
Revisiting evolutionary algorithms with on-the-fly population size adjustment
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
Fernando G. Lobo, Cláudio F. Lima
IMCSIT
2010
13 years 7 months ago
Enhanced Competitive Differential Evolution for Constrained Optimization
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...
Josef Tvrdík, Radka Polakova