Roberto Carballedo Morillo-rekin lankidetzan egindako argitalpenak (48)

2015

  1. A migration strategy for distributed evolutionary algorithms based on stopping non-promising subpopulations: A case study on routing problems

    International Journal of Artificial Intelligence, Vol. 13, Núm. 2, pp. 46-56

  2. A parallel meta-heuristic for solving a multiple asymmetric traveling salesman problem with simulateneous pickup and delivery modeling demand responsive transport problems

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  3. An Asymmetric Multiple Traveling Salesman Problem with Backhauls to solve a Dial-a-Ride Problem

    2015 IEEE 13TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI)

  4. An asymmetric multiple traveling salesman problem with backhauls to solve a dial-a-ride problem

    SAMI 2015 - IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, Proceedings

2014

  1. A proposal of good practice in the formulation and comparison of meta-heuristics for solving routing problems

    Advances in Intelligent Systems and Computing

  2. A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem

    GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

  3. AMCPA: A population metaheuristic with adaptive crossover probability and multi-crossover mechanism for solving combinatorial optimization problems

    International Journal of Artificial Intelligence, Vol. 12, Núm. 2, pp. 1-23

  4. An adaptive multi-crossover population algorithm for solving routing problems

    Studies in Computational Intelligence, Vol. 512, pp. 113-124

  5. Comments on "albayrak, M., & Allahverdy N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem by aid of genetic algorithms. Expert Systems with Applications, 38(3), 1313-1320": A proposal of good practice

    Expert Systems with Applications, Vol. 41, Núm. 4 PART 1, pp. 1530-1531

  6. Crossover versus mutation: A comparative analysis of the evolutionary strategy of genetic algorithms applied to combinatorial optimization problems

    Scientific World Journal, Vol. 2014

  7. Focusing on the Golden Ball Metaheuristic: An Extended Study on a Wider Set of Problems

    Scientific World Journal, Vol. 2014

  8. On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: A first study on the TSP

    2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2014 - Conference Proceedings

  9. On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: a first study on the TSP

    2014 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS)

  10. Ubiquitous connected train based on train-to-ground and intra-wagon communications capable of providing on trip customized digital services for passengers

    Sensors (Switzerland), Vol. 14, Núm. 5, pp. 8003-8025

  11. Using TETRA technology for improving a decentralized positioning system for trains and trams

    Communications in Computer and Information Science, Vol. 455, pp. 273-283

2013

  1. A Middleware for Dynamic and Adaptive Vehicle-to-Ground Communications Management

    2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC)

  2. A middleware for dynamic and adaptive vehicle-to-ground communications management

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

  3. A multi-crossover and adaptive island based population algorithm for solving routing problems

    Journal of Zhejiang University: Science C, Vol. 14, Núm. 11, pp. 815-821

  4. Analysis of the suitability of using blind crossover operators in genetic algorithms for solving routing problems

    SACI 2013 - 8th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings