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Combining Column Generation and Metaheuristics

2013
In this Chapter, we consider the hybridization of column generation (CG) with metaheuristics (MHs) for solving combinatorial optimization problems. We describe a general framework entitled ”metaheuristic search by column generation” (for short, SearchCol).
Alvelos, Filipe Pereira e   +2 more
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Nested generalized cyclic row-column designs

Biometrika, 1985
A nested row-column design has v treatments arranged in b blocks each comprising pq units grouped into p rows and q columns. A class of designs based on a cyclical method of construction is defined. The canonical efficiency factors of such nested generalized cyclic row-column designs are examined. Efficient designs are tabulated for \(5\leq v\leq 15\),
Ipinyomi, R. A., John, J. A.
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Column Generation Methods for Probabilistic Logic

ORSA Journal on Computing, 1991
Nilsson recently introduced a rigorous semantic generalization of logic in which the truth values of sentences are probability values. This led to state precisely several basic problems of artificial intelligence, a paradigm of which is probabilistic satisfiability (PSAT): determine, given a set of clauses and probabilities that these clauses are true,
Jaumard, Brigitte   +2 more
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Applying Column Generation to Machine Scheduling

2005
The goal of a scheduling problem is to find out when each task must be performed and by which machine such that an optimal solution is obtained. Especially when the main problem is to divide the jobs over the machines, column generation turns out to be very successful.
van den Akker, J.M.   +2 more
openaire   +3 more sources

Interior point stabilization for column generation

Operations Research Letters, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rousseau, Louis-Martin   +2 more
openaire   +3 more sources

SearchCol: Metaheuristic Search by Column Generation

2010
We propose a general framework for the combination of column generation (CG) with metaheuristics (MHs) aiming to solve combinatorial optimization problems amenable for decomposition approaches, "SearchCol". The combination of the two approaches is based on representing the solution of the problem as the selection of a subset of solutions of smaller ...
Alvelos, Filipe Pereira e   +2 more
openaire   +2 more sources

Column generation

2001
Saul I. Gass, Carl M. Harris
openaire   +1 more source

Generation and Testing of Immunoaffinity Columns

2005
Immunoaffinity purification is a highly specific, reversible technique that has the potential to be used for the one-step isolation of an analyte from many complex matrices. Application of an immunoaffinity column to isolate and concentrate an analyte may decrease the amount of solvent used, decrease the number of purification steps, shorten analysis ...
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