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» Globally Convergent Autocalibration
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CP
2006
Springer
15 years 3 months ago
Global Optimization of Probabilistically Constrained Linear Programs
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
Shabbir Ahmed
CEC
2008
IEEE
15 years 6 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin
92
Voted
ISDA
2008
IEEE
15 years 6 months ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
IPPS
2007
IEEE
15 years 6 months ago
Using Linearization for Global Consistency in SSR
Novel routing algorithms such as scalable source routing (SSR) and virtual ring routing (VRR) need to set up and maintain a virtual ring structure among all the nodes in the netwo...
Kendy Kutzner, Thomas Fuhrmann
CORR
2010
Springer
150views Education» more  CORR 2010»
14 years 12 months ago
Existence and Global Logarithmic Stability of Impulsive Neural Networks with Time Delay
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...
A. K. Ojha, Dushmanta Mallick, C. Mallick