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» Heterogeneous particle swarm optimizers
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IPPS
2008
IEEE
14 years 1 months ago
Towards a decentralized architecture for optimization
We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clus...
Marco Biazzini, Mauro Brunato, Alberto Montresor
CEC
2009
IEEE
14 years 2 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
14 years 28 days ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
MICROMACHINES
2011
13 years 1 months ago
Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...
Massimo Mastrangeli, Grégory Mermoud, Alche...
DATE
2008
IEEE
134views Hardware» more  DATE 2008»
14 years 1 months ago
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...