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CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 10 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
IJMC
2006
84views more  IJMC 2006»
13 years 10 months ago
Using a genetic algorithm approach to solve the dynamic channel-assignment problem
: The Channel Assignment Problem is an NP-complete problem to assign a minimum number of channels under certain constraints to requested calls in a cellular radio system. Examples ...
Xiannong Fu, Anu G. Bourgeois, Pingzhi Fan, Yi Pan
EOR
2007
159views more  EOR 2007»
13 years 10 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
AIR
2004
134views more  AIR 2004»
13 years 9 months ago
Combining Meta-Heuristics to Effectively Solve the Vehicle Routing Problems with Time Windows
The vehicle routing problems with time windows are challenging delivery problems in which instances involving 100 customers or more can be difficult to solve. There were many inter...
Vincent Tam, Keng Teck Ma

Publication
255views
12 years 7 months ago
Ant-Q Hyper-Heuristic Approach for solving 2-Dimensional Cutting Stock Problem
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristi...
Imen Khamassi, Moez Hammami, Khaled Ghédira