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JMLR
2006
108views more  JMLR 2006»
15 years 1 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
WSC
2008
15 years 4 months ago
Simulation and optimization for construction repetitive projects using promodel and simrunner
We introduce a new approach, called Relative Start and Idle Time (RSIT), to solve probabilistic scheduling problems of construction repetitive projects. RSIT is a process of deter...
Chachrist Srisuwanrat, Photios G. Ioannou, Omer Ts...
MP
2006
137views more  MP 2006»
15 years 1 months ago
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
Yu-Hong Dai, Roger Fletcher
ICRA
2007
IEEE
171views Robotics» more  ICRA 2007»
15 years 8 months ago
Visual Servoing by Optimization of a 2D/3D Hybrid Objective Function
— In this paper, we present a new hybrid visual servoing algorithm for robot arm positioning task. Hybrid methods in visual servoing partially combine the 2D and 3D visual inform...
A. H. Abdul Hafez, C. V. Jawahar
EVOW
2009
Springer
15 years 8 months ago
A Hybrid Algorithm for Computing Tours in a Spare Parts Warehouse
We consider a real-world problem arising in a warehouse for spare parts. Items ordered by customers shall be collected and for this purpose our task is to determine efficient picku...
Matthias Prandtstetter, Günther R. Raidl, Tho...