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» Exploiting Decomposition in Constraint Optimization Problems
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CP
2009
Springer
14 years 2 months ago
Dialectic Search
We introduce Hegel and Fichte’s dialectic as a search meta-heuristic for constraint satisfaction and optimization. Dialectic is an appealing mental concept for local search as it...
Serdar Kadioglu, Meinolf Sellmann
IPCO
2008
118views Optimization» more  IPCO 2008»
13 years 9 months ago
Constraint Orbital Branching
Orbital branching is a method for branching on variables in integer programming that reduces the likelihood of evaluating redundant, isomorphic nodes in the branch-and-bound proce...
James Ostrowski, Jeff Linderoth, Fabrizio Rossi, S...
ISCAPDCS
2004
13 years 9 months ago
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach
This paper addresses the application of distributed constraint optimization problems (DCOPs) to large-scale dynamic environments. We introduce a decomposition of DCOP into a graph...
Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Ta...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 8 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
COR
2007
176views more  COR 2007»
13 years 7 months ago
Scheduling and routing of automated guided vehicles: A hybrid approach
We propose a hybrid method designed to solve a problem of dispatching and conflict free routing of automated guided vehicles (AGVs) in a flexible manufacturing system (FMS). Thi...
Ayoub Insa Corréa, André Langevin, L...