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» Adaptive Particle Swarm Optimization
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2008
IEEE
14 years 2 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
EAAI
2007
103views more  EAAI 2007»
13 years 7 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 ...
AHS
2006
IEEE
161views Hardware» more  AHS 2006»
14 years 1 months ago
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller
We present a framework for a low power self-tuning analog proportional-integral-derivative controller. By using a model-free tuning method, it overcomes problems associated with r...
Varun Aggarwal, Meng Mao, Una-May O'Reilly
EOR
2007
159views more  EOR 2007»
13 years 7 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
CVPR
2007
IEEE
14 years 9 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler