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IEEECIT
2009
IEEE
15 years 8 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
JMLR
2010
143views more  JMLR 2010»
15 years 9 days ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
ICPP
1993
IEEE
15 years 6 months ago
Activity Counter: New Optimization for the Dynamic Scheduling of SIMD Control Flow
SIMD or vector computers and collection-oriented languages, like C , are designed to perform the same computation on each data item or on just a subset of the data. Subsets of pro...
Ronan Keryell, Nicolas Paris
SAC
2004
ACM
15 years 7 months ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl
IJCAI
2007
15 years 3 months ago
MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization
In distributed combinatorial optimization problems, dynamic programming algorithms like DPOP ([Petcu and Faltings, 2005]) require only a linear number of messages, thus generating...
Adrian Petcu, Boi Faltings