Miguel A. Salido Web Page

 

 

 

 

Catedrático de Universidad

Departamento de Sistemas Informáticos y Computación/

Instituto de Automática e Informática Industrial

Universidad Politécnica de Valencia.

Camino de Vera s/n,

46071, Valencia, España

Tef. +34 963877000, Ext. 83512

Fax. +34 963877359

Email: msalido (at) dsic.upv.es

Full Professor

Department of Computer Systems and Computation/

Institute of Control Systems and Industrial Computing

Universidad Politécnica de Valencia.

Camino de Vera s/n,

46071, Valencia, Spain

Phone. +34 963877000, Ext. 83512

Fax. +34 963877359

Email: msalido (at) dsic.upv.es

 

 Research:

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Main Areas:  Constraint Satisfaction Problem, Scheduling, Robust scheduling, distributed Constraints, Railway Scheduling, Green Manufacturing, Metaheuristics.

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Member of Planning, Scheduling, and Constraint-Based Reasoning Research Group

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My DBLP, Google Scholar ORCID, ResearcherID

Publications

Research Projects

Benchmarks

Editor/Organizer   

Member of Programme Committee/referee    

Thesis and Awards                

Teaching

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Selected Publications

  1. Rescheduling in Job-Shop Problems for Sustainable Manufacturing Systems. M.A. Salido, J. Escamilla, F. Barber, A. Giret. Journal of Cleaner Production, In press, 2017 (JCR: 5.715)

  2. A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem. D. Morillo, F. Barber, M.A. Salido. Journal of Engineering Manufacture, In press, 2017 (1.366)

  3. A holonic multi-agent methodology to design sustainable intelligent manufacturing. A. Giret, D. Trentesaux, M.A. Salido, E. Garcia and E. Adam.  Journal of Cleaner Production. In press (2017) (JCR: 5.715)

  4. Assessment of Mathematical Programming and Agent-Based Modelling for Off-line Scheduling: application to Energy Aware Manufacturing. F. Tonelli, A.G. Bruzzone, M. Paolucci, E. Carpanzano, G. Nicolò, A. Giret, M. A. Salido, D. Trentesaux. CIRP Annals Manufacturing Technology, 65(1), 405-408, 2016 (JCR: 2.893)

  5. Bi-objective optimization for low-carbon product family design. Q. Wang, D. Tang, L. Yin, M.A. Salido, A. Giret, Y Xu. Robotics and Computer-Integrated Manufacturing 41, 53-65, 2016 (JCR: 2.846)

  6. A metaheuristic technique for energy-efficiency in job-shop scheduling. Escamilla, J., Salido, M.A., Giret, A. and Barber, F. The Knowledge Engineering Review, 31(5), pp. 475–485, 2016. (JCR: 1.510

  7. Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization. Dunbing Tang, Min Dai,  Miguel A. Salido, Adriana Giret. Computers in Industry. 81, 82-95, 2016 (JCR: 2.691)

  8. A genetic algorithm for energy-efficiency in job-shop scheduling. MA Salido, J Escamilla, A Giret, F Barber. The International Journal of Advanced Manufacturing Technology, 85(5), 1303-1314, 2016 (JCR:2.209)

  9. A hormone regulation based approach for distributed and on-line scheduling of machines and AGVs. Kun Zheng, Dunbing Tang, Adriana Giret, Miguel A. Salido, Zelei Sang. Journal of Engineering Manufacture. doi:10.1177/0954405416662078, 2016 (JCR: 1.366)

  10. A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems. Joan Escamilla and Miguel A. Salido. Journal of Engineering Manufacture, doi: 10.1177/0954405415625915, 2016 (JCR: 1.366)

  11. Energy efficiency, robustness, and makespan optimality in job-shop scheduling problems. Miguel A. Salido, Joan Escamilla, Federico Barber, Adriana Giret, Dunbing Tang, Min Dai. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 30(3): 300-312, 2016 (JCR:0.803)

  12. Uncertainty in Dynamic Constraint Satisfaction Problems. L. Climent, RJ Wallace, MA Salido, F Barber. AI Communications. 29(1): 239-241, 2015

  13. Finding robust solutions for constraint satisfaction problems with discrete and ordered domains by coverings L Climent, RJ Wallace, MA Salido, F Barber. Artificial Intelligence Review, 44: 131-156, 2015  (JCR: 2.111)

  14. Robustness, Stability, Recoverability and Reliability in Constraint Satisfaction Problems.  Federico Barber, Miguel A. Salido. Knowledge and Information Systems,   44(3): 719-734,  2015  (JCR 2.639)

  15. Solving the job shop scheduling problem with operators by depth-first heuristic search enhanced with global pruning rules. Carlos Mencía, María R. Sierra, Miguel A. Salido, Joan Escamilla and Ramiro Varela.  AI Communications. 28(2),  365-381, 2015 (JCR:0.837)

  16. Robust scheduling for Berth Allocation and Quay Crane Assignment Problem. Mario Rodriguez-Molins, Miguel A. Salido, Federico Barber. Mathematical Problems in Engineering, ID 834927, 17 pages, 2014

  17. Robustness and Stability in Constraint Programming under Dynamism and Uncertainty. L Climent, RJ Wallace, MA Salido, F Barber. Journal of Artificial Intelligence Research, vol 49, 49-78, 2014

  18. A GRASP-based Metaheuristic for the BerthnAllocation Prolem and the Quay Crane Assigment Problem by Managing Vessel Cargo Holds. Mario Rodriguez-Molins, Miguel A. Salido, Federico Barber. Applied intelligence, 40(2), 273-290, 2014. (JCR: 1.853)

  19. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Min Dai, Dunbing Tang, Adriana Giret, Miguel A. Salido, WD. Li.  Robotics and Computer Integrated Manufacturing, 29(5), 418-429, 2013. (JCR: 1.839)

  20. Intelligent planning for allocating containers in maritime terminals. M. Rodriguez-Molins, M.A. Salido, F. Barber. Expert Systems with Applications, vol 39(1), pp:978-989, 2012. (JCR:1.854)

  21. A Decision Support System for Managing Combinatorial Problems in Container Terminals. Miguel A. Salido, Mario Rodriguez-Molins, Federico Barber.  Knowledge-Based Systems, 29, 63-74, 2012. (JCR: 4.104).

  22. Robustness for a Single Railway Line: Analytical and Simulation Methods. Miguel A. Salido,  Federico Barber, Laura Ingolotti. Expert Systems with Applications, 39(18), pp:13305-13327, 2012. (JCR:1.854)

  23. Constraint Satisfaction for Planning and Scheduling Problems. Roman Barták, Miguel A. Salido. Constraints, 16(3), 223-227, 2011. (JCR-2010: 1.410, JCR-2011: 0.659).

  24. Integrated intelligent techniques for remarshaling and berthing in maritime terminals. Miguel A. Salido, Mario Rodríguez-Molins, Federico Barber. Advanced Engineering Informatics 25(3): 435-451, 2011 (JCR 1.489)

  25. Robustness in Dynamic Constraint Satisfaction Problems. Laura Climent, Miguel A. Salido,  Federico Barber. Int. Journal of Innovative Computing Information and Control, 8(4), 2513-2532, 2012. (JCR-2010: 1.664).

  26. A Filtering Technique to Achieve 2-consistency in Constraint Satisfaction Problems. Marlene Arangú, Miguel A. Salido,  Federico Barber. Int. Journal of Innovative Computing Information and Control, 8(6) 3891-3906, 2012.(JCR-2010: 1.664).

  27. A Fine-grained Arc-consistency Algorithm for Non-Normalized Constraint Satisfaction Problems. Marlene Arangú, Miguel A. Salido. Applied Mathematics and Computer Science, Vol 21(4), pp:733-744, 2011. (JCR-2010: 0.794, JCR-2011: 0.487)

  28. A holonic simulation environment for smart transportation systems. Miguel A. Salido, Adriana Giret, Manuel Peinado. International Journal of Production Research, Vol. 49(5), pp:1425-1439, 2011. (JCR: 1.115)

  29. New Trends on Constraint Satisfaction, Planning, and Scheduling: A Survey. Roman Barták, Miguel A. Salido, Francesca Rossi. The Knowledge Engineering Review, Vol. 25:3, 249–279, Cambridge University Press, 2010. (JCR: 1.588).

  30. Introduction to Planning, Scheduling and Constraint Satisfaction. Miguel A. Salido. Journal of Intelligent Manufacturing (Springer), ISSN: 0956-5515, vol 21(1), pp:1-4, 2010 (JCR:1.018).

  31. Preface to special issue on Planning and Scheduling. Roman Barták, Amedeo Cesta, Lee McCluskey, Miguel A. Salido. The Knowledge Engineering Review, Vol. 25:3, 247–248, Cambridge University Press, 2010. (JCR: 1.588).

  32. Experimental analysis of optimization techniques on the road passenger transportation problem. B. Lopez, V. Muñoz, J. Murillo, F. Barber, M.A. Salido, M. Abril, M. Cervantes, L.F. Caro, M. Villaret. Engineering Applications of Artificial Intelligence, 22, pp:374-388, (Ed. Elsevier Science), ISSN: 0952-1976, 2009,  (JCR:1.444).

  33. Mathematical Solutions for Solving Periodic Railway Transportation. Miguel A. Salido,  Federico Barber. Mathematical Problems in Engineering, Volume 2009, Article ID 728916, doi:10.1155/2009/728916, 19 pages, 2009, (0.771).

  34. Feasible Distributed CSP Models for Scheduling Problems. Miguel A. Salido, Adriana Giret. Engineering Applications of Artificial Intelligence. (Ed. Elsevier Science), ISSN: 0952-1976, vol 21(5), pp:723-732, 2008, (JCR:1.397).

  35. Distributed Search in Railway Scheduling Problems. M. Abril, M. A. Salido,  F. Barber. Engineering Applications of Artificial Intelligence. (Ed. Elsevier Science), ISSN: 0952-1976, vol 21(5), pp:744-755,  2008, (JCR:1.397).

  36. Constraint satisfaction techniques in planning and scheduling. Roman Barták, Miguel A. Salido, Francesca Rossi. Journal of Intelligent Manufacturing (Springer), ISSN: 0956-5515, vol 21(1), pp:5-15, 2010, (JCR:1.018).

  37. A Non-binary Constraint Ordering Heuristic For Constraint Satisfaction Problems. M. A. Salido. Applied Mathematics and Computation, (Ed. Elsevier Science), Vol 198/1, pp 280-295, 2008. (JCR: 0.961)

  38. Introduction: Special Issue on Constraint Satisfaction Techniques for Planning and Scheduling Problems, Miguel A. Salido, Antonio Garrido; Roman Bartak. Engineering Applications of Artificial Intelligence. (Ed. Elsevier Science), ISSN: 0952-1976, vol 21(5),  2008, (JCR:1.397).

  39. A Holonic Architecture for the Global Road Transportation System. Frédérique Versteegh, Miguel A. Salido, Adriana Giret. Journal of Intelligent Manufacturing (Springer), ISSN: 0956-5515, vol 21(1), pp:133-144, 2010,  (JCR:1.018).

  40. Domain Dependent Distributed Models for Railway Scheduling. M. A. Salido, M. Abril,  F. Barber, L. Ingolotti, P. Tormos, A. Lova. Knowledge-Based Systems, 20, 186-194, (Ed. Elsevier Science), 2007. (JCR: 0.696)

  41. Nogood-FC for Solving Partitionable Constraint Satisfaction Problems. Montserrat Abril, Miguel A. Salido, Federico Barber. Journal of Intelligent Manufacturing (Elsevier), ISSN: 0956-5515, vol 21(1), pp:101-110, 2010,  (JCR:1.018).

  42. An Assessment of Railway Capacity. M. Abril,  F. Barber, L. Ingolotti, M. A. Salido, P. Tormos, A. Lova. Transportation Research Part E-Logistics and Transportation Review, Vol 44(5), pp:774-806, 2008.  (Ed. Elsevier Science)(JCR: 1.270)

  43. Distributed CSPs by Graph Partitioning. M. A. Salido, F. Barber. Applied Mathematics and Computation, 183 (2006) 491-498, Elsevier, 2006 (JCR: 0.816)

  44. A Polynomial Algorithm for Continuous Non-binary Disjunctive CSPs: Extended DLRs. Miguel. A. Salido, Federico Barber. International Journal Knowledge Based Systems 16, 277-285,  ISSN: 0950-7051 (Ed. Elsevier Science), 2003. (JCR: 0.842)