Vienna University of Technology-ko ikertzaileekin lankidetzan egindako argitalpenak (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