Publications in collaboration with researchers from Vienna University of Technology (11)

2017

  1. Large neighborhood search for the most strings with few bad columns problem

    Soft Computing, Vol. 21, Núm. 17, pp. 4901-4915

2016

  1. 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

  2. Further Hybrids and Conclusions

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION

  3. Hybrid Metaheuristics Powerful Tools for Optimization Introduction

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION

  4. Hybrid Metaheuristics Powerful Tools for Optimization Preface

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION

  5. Hybridization Based on Complete Solution Archives

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 101-125

  6. Hybridization Based on Large Neighborhood Search

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 63-82

  7. Incomplete Solution Representations and Decoders

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 27-62

  8. Making Use of a Parallel, Non-independent, Construction of SolutionsWithin Metaheuristics

    HYBRID METAHEURISTICS: POWERFUL TOOLS FOR OPTIMIZATION (SPRINGER-VERLAG BERLIN), pp. 83-99

2015

  1. 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

  2. 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