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» A New Approach to Improve Particle Swarm Optimization
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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 7 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
SRDS
2010
IEEE
14 years 11 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
ICCAD
2010
IEEE
229views Hardware» more  ICCAD 2010»
14 years 11 months ago
Obstacle-avoiding rectilinear Steiner minimum tree construction: An optimal approach
In this paper, we present an efficient method to solve the obstacle-avoiding rectilinear Steiner minimum tree (OARSMT) problem optimally. Our work is a major improvement over the w...
Tao Huang, Evangeline F. Y. Young
ICIP
2009
IEEE
16 years 2 months ago
Improved Global Cardiac Tractography With Simulated Annealing
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
ATAL
2010
Springer
15 years 2 months ago
Improving DPOP with function filtering
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...
Ismel Brito, Pedro Meseguer