CHRISTIAN
BLUM
Investigador/a en el periodo 2013-2016
Vienna University of Technology
Viena, AustriaPublicaciones en colaboración con investigadoras/es de Vienna University of Technology (11)
2017
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Large neighborhood search for the most strings with few bad columns problem
Soft Computing, Vol. 21, Núm. 17, pp. 4901-4915
2016
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Computational performance evaluation of two integer linear programming models for the minimum common string partition problem
Optimization Letters, Vol. 10, Núm. 1, pp. 189-205
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Further Hybrids and Conclusions
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION
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Hybrid Metaheuristics Powerful Tools for Optimization Introduction
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION
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Hybrid Metaheuristics Powerful Tools for Optimization Preface
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION
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Hybridization Based on Complete Solution Archives
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 101-125
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Hybridization Based on Large Neighborhood Search
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 63-82
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Incomplete Solution Representations and Decoders
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 27-62
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Making Use of a Parallel, Non-independent, Construction of SolutionsWithin Metaheuristics
HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 83-99
2015
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On Solving The Most Strings With Few Bad Columns Problem: An ILP Model and Heuristics
2015 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) PROCEEDINGS
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On solving the most strings with few bad columns problem: An ILP model and heuristics
INISTA 2015 - 2015 International Symposium on Innovations in Intelligent SysTems and Applications, Proceedings