| Memetic algorithms for the job shop scheduling problem with operators R Mencía, MR Sierra, C Mencía, R Varela Applied Soft Computing 34, 94-105, 2015 | 59 | 2015 |
| A genetic algorithm for robust berth allocation and quay crane assignment M Rodriguez-Molins, L Ingolotti, F Barber, MA Salido, MR Sierra, J Puente Progress in Artificial Intelligence 2 (4), 177-192, 2014 | 54 | 2014 |
| New codification schemas for scheduling with genetic algorithms R Varela, D Serrano, M Sierra Artificial Intelligence and Knowledge Engineering Applications: A …, 2005 | 41 | 2005 |
| Genetic programming with local search to evolve priority rules for scheduling jobs on a machine with time-varying capacity FJ Gil-Gala, MR Sierra, C Mencía, R Varela Swarm and Evolutionary Computation 66, 100944, 2021 | 39 | 2021 |
| Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time FJ Gil-Gala, C Mencía, MR Sierra, R Varela Applied Soft Computing 85, 105782, 2019 | 39 | 2019 |
| Genetic algorithms for the scheduling problem with arbitrary precedence relations and skilled operators R Mencía, MR Sierra, C Mencía, R Varela Integrated Computer-Aided Engineering 23 (3), 269-285, 2016 | 32 | 2016 |
| Pruning by dominance in best-first search for the job shop scheduling problem with total flow time MR Sierra, R Varela Journal of Intelligent Manufacturing 21 (1), 111-119, 2010 | 31 | 2010 |
| Learning ensembles of priority rules for online scheduling by hybrid evolutionary algorithms FJ Gil-Gala, C Mencía, MR Sierra, R Varela Integrated Computer-Aided Engineering, 1-16, 2020 | 30 | 2020 |
| Depth-first heuristic search for the job shop scheduling problem C Mencía, MR Sierra, R Varela Annals of Operations Research 206 (1), 265-296, 2013 | 24 | 2013 |
| Combining hyper-heuristics to evolve ensembles of priority rules for on-line scheduling FJ Gil-Gala, MR Sierra, C Mencıa, R Varela Natural Computing 13 (/10.1007/s11047-020-09793-4), 2020 | 23 | 2020 |
| New schedule generation schemes for the job-shop problem with operators MR Sierra, C Mencía, R Varela Journal of Intelligent Manufacturing 26 (3), 511-525, 2015 | 23 | 2015 |
| A genetic algorithm for job-shop scheduling with operators enhanced by weak lamarckian evolution and search space narrowing R Mencía, MR Sierra, C Mencía, R Varela Natural Computing 13 (2), 179-192, 2014 | 23 | 2014 |
| Evolutionary one-machine scheduling in the context of electric vehicles charging C Mencía, MR Sierra, R Mencía, R Varela Integrated Computer-Aided Engineering 26 (1), 49-63, 2019 | 22 | 2019 |
| An effective solution for a real cutting stock problem in manufacturing plastic rolls R Varela, CR Vela, J Puente, M Sierra, I González-Rodríguez Annals of Operations Research 166 (1), 125-146, 2009 | 22 | 2009 |
| An efficient hybrid search algorithm for job shop scheduling with operators C Mencía, MR Sierra, R Varela International Journal of Production Research 51 (17), 5221-5237, 2013 | 19 | 2013 |
| Tabu search and genetic algorithm for scheduling with total flow time minimization MÁ González Fernández, MC Rodríguez Vela, MR Sierra Sánchez, ... Proceedings of the workshop on constraint satisfaction techniques for …, 2010 | 16 | 2010 |
| Genetic algorithm for job-shop scheduling with operators R Mencía, MR Sierra, C Mencía, R Varela International Work-Conference on the Interplay Between Natural and …, 2011 | 15 | 2011 |
| Intensified iterative deepening A* with application to job shop scheduling C Mencía, MR Sierra, R Varela Journal of Intelligent Manufacturing 25 (6), 1245-1255, 2014 | 13 | 2014 |
| Optimally scheduling a job-shop with operators and total flow time minimization MR Sierra, C Mencía, R Varela Advances in Artificial Intelligence, 193-202, 2011 | 13 | 2011 |
| Genetic algorithms hybridized with greedy algorithms and local search over the spaces of active and semi-active schedules MA González, M Sierra, CR Vela, R Varela Conference of the Spanish Association for Artificial Intelligence, 231-240, 2005 | 13 | 2005 |
Ramiro Varela AriasProfessor of Computer Science and Artificial Intelligence. University of Oviedo在 uniovi.es 的电子邮件经过验证
