University of Hamburg-ko ikertzaileekin lankidetzan egindako argitalpenak (11)

2020

  1. A similarity-based neighbourhood search for enhancing the balance exploration–exploitation of differential evolution

    Computers and Operations Research, Vol. 117

2019

  1. A cooperative learning approach for the quadratic Knapsack problem

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2018

  1. A novel similarity-based mutant vector generation strategy for differential evolution

    GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference

  2. Meta-learning-based system for solving logistic optimization problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems

    Expert Systems with Applications, Vol. 102, pp. 126-142

2017

  1. A Machine Learning-based system for berth scheduling at bulk terminals

    Expert Systems with Applications, Vol. 87, pp. 170-182

  2. A POPMUSIC-based approach for the berth allocation problem under time-dependent limitations

    Annals of Operations Research, Vol. 253, Núm. 2, pp. 871-897

2016

  1. An improved formulation for the multi-depot open vehicle routing problem

    OR Spectrum, Vol. 38, Núm. 1, pp. 175-187

  2. Analysing the performance of migrating birds optimisation approaches for large scale continuous problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Hybridisation of evolutionary algorithms through hyper-heuristics for global continuous optimisation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008

  1. Applying the pilot method to improve VNS and GRASP metaheuristics for the design of SDH/WDM networks

    European Journal of Operational Research, Vol. 191, Núm. 3, pp. 691-704