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JGO
2010
89views more  JGO 2010»
13 years 7 months ago
Stopping rules in k-adaptive global random search algorithms
In this paper we develop a methodology for defining stopping rules in a general class of global random search algorithms that are based on the use of statistical procedures. To bu...
Anatoly A. Zhigljavsky, Emily Hamilton
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
13 years 7 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
JMLR
2012
11 years 11 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
EOR
2010
140views more  EOR 2010»
13 years 6 months ago
Cutting plane algorithms for 0-1 programming based on cardinality cuts
: We present new valid inequalities for 0-1 programming problems that work in similar ways to well known cover inequalities. Discussion and analysis of these cuts is followed by th...
Osman Oguz
CORR
2010
Springer
87views Education» more  CORR 2010»
13 years 7 months ago
Using Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger