Sciweavers

3238 search results - page 66 / 648
» Multi-return function call
Sort
View
SAC
2009
ACM
14 years 2 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
SEFM
2003
IEEE
14 years 1 months ago
From Requirements to Design: Formalizing the Key Steps
Despite the advances in software engineering since 1968, current methods for going from a set of functional requirements to a design are not as direct, repeatable and constructive...
R. Geoff Dromey
ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 7 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ISNN
2010
Springer
13 years 6 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
TMI
2010
155views more  TMI 2010»
13 years 2 months ago
3D Forward and Back-Projection for X-Ray CT Using Separable Footprints
The greatest impediment to practical adoption of iterative methods for X-ray CT is the computation burden of cone-beam forward and back-projectors. Moreover, forward and back-proje...
Yong Long, Jeffrey A. Fessler, James M. Balter