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» Computational complexity of stochastic programming problems
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CPHYSICS
2006
182views more  CPHYSICS 2006»
15 years 18 days ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
116
Voted
ICIC
2009
Springer
15 years 7 months ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu
111
Voted
CCGRID
2002
IEEE
15 years 5 months ago
Overcoming the Problems Associated with the Existence of Too Many DSM APIs
Despite the large research efforts in the SW–DSM community, this technology has not yet been adapted widely for significant codes beyond benchmark suites. One of the reasons co...
Martin Schulz
83
Voted
EUROPAR
2003
Springer
15 years 5 months ago
Why Not Use a Pattern-Based Parallel Programming System?
Parallel programming is seen as an effective technique to improve the performance of computationally-intensive programs. This is done at the cost of increasing the complexity of t...
John Anvik, Jonathan Schaeffer, Duane Szafron, Kai...
89
Voted
IPPS
2002
IEEE
15 years 5 months ago
Next Generation System Software for Future High-End Computing Systems
Future high-end computers will offer great performance improvements over today’s machines, enabling applications of far greater complexity. However, designers must solve the cha...
Guang R. Gao, Kevin B. Theobald, Ziang Hu, Haiping...