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IOR
2007
106views more  IOR 2007»
15 years 4 months ago
Planning and Scheduling by Logic-Based Benders Decomposition
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve an important class of planning and scheduling problems. Tasks are allocated to faciliti...
John N. Hooker
CLOUDCOM
2010
Springer
15 years 2 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
IPPS
2003
IEEE
15 years 10 months ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
HPDC
1999
IEEE
15 years 9 months ago
The Cactus Computational Toolkit and using Distributed Computing to Collide Neutron Stars
We are developing a system for collaborative research and development for a distributed group of researchers at different institutions around the world. In a new paradigm for coll...
Gabrielle Allen, Tom Goodale, Joan Massó, E...
ICML
2008
IEEE
16 years 5 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr