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» A Mean-Variance Optimization algorithm
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IJCSA
2007
110views more  IJCSA 2007»
15 years 7 months ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari
ISVC
2007
Springer
16 years 1 months ago
Combinatorial Shape Decomposition
We formulate decomposition of two-dimensional shapes as a combinatorial optimization problem and present a dynamic programming algorithm that solves it.
Ralf Juengling, Melanie Mitchell
176
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CEC
2009
IEEE
16 years 16 hour ago
Benchmarking and solving dynamic constrained problems
— Many real-world dynamic optimisation problems have constraints, and in certain cases not only the objective function changes over time, but the constraints also change as well....
Trung Thanh Nguyen, Xin Yao
IJON
1998
46views more  IJON 1998»
15 years 7 months ago
Self-organizing maps of symbol strings
SOM and LVQ algorithms for symbol strings have been introduced and applied to isolatedword recognition, for the construction of an optimal pronunciation dictionary for a given spe...
Teuvo Kohonen, Panu Somervuo
ICML
1996
IEEE
16 years 8 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami