| Solving the job-shop scheduling problem optimally by dynamic programming JAS Gromicho, JJ Van Hoorn, F Saldanha-da-Gama, GT Timmer Computers & Operations Research 39 (12), 2968-2977, 2012 | 108 | 2012 |
| Restricted dynamic programming: a flexible framework for solving realistic VRPs J Gromicho, JJ van Hoorn, AL Kok, JMJ Schutten Computers & operations research 39 (5), 902-909, 2012 | 104 | 2012 |
| The Current state of bounds on benchmark instances of the job-shop scheduling problem JJ van Hoorn Journal of Scheduling 21 (1), 127-128, 2018 | 54 | 2018 |
| Hybrid Genetic Search for the Vehicle Routing Problem with Time Windows: a High-Performance Implementation W Kool, JO Juninck, E Roos, K Cornelissen, P Agterberg, J van Hoorn, ... | 29 | 2022 |
| Dynamic programming for routing and scheduling: Optimizing sequences of decisions JJ van Hoorn Amsterdam: Vrije Universiteit, 2016 | 28 | 2016 |
| Tackling a VRP challenge to redistribute scarce equipment within time windows using metaheuristic algorithms A Kheiri, AG Dragomir, D Mueller, J Gromicho, C Jagtenberg, ... EURO Journal on Transportation and Logistics 8 (5), 561-595, 2019 | 23 | 2019 |
| The flexibility of restricted dynamic programming for the VRP J Gromicho, J van Hoorn, AL Kok, JMJ Schutten Beta Working Pap. Ser. 266, 1-20, 2008 | 12 | 2008 |
| Job shop instances and solutions JJ van Hoorn | 8 | 2015 |
| Solving the job-shop scheduling problem optimally by dynamic programming (vol 39, pg 2968, 2012) JJ van Hoorn, A Nogueira, I Ojea, JAS Gromicho COMPUTERS & OPERATIONS RESEARCH 78, 381-381, 2017 | 7* | 2017 |
| An corrigendum on the paper: Solving the job-shop scheduling problem optimally by dynamic programming (Computers and Operations Research (2012) 39 (12)(2968–2977 … JJ van Hoorn, A Nogueira, I Ojea, JAG Dos Santos Computers and Operations Research 78, 381, 2017 | 7 | 2017 |
| Vehicle routing with restricted loading capacities J Gromicho, JJ van Hoorn, AL Kok, JMJ Schutten BETA working papers, 2012 | 7 | 2012 |
| The VeRoLog solver challenge 2016–2017 W Dullaert, J Gromicho, J van Hoorn, G Post, D Vigo Journal on Vehicle Routing Algorithms 1 (1), 69-71, 2018 | 5 | 2018 |
| Exponentially better than brute force: solving the jobshop scheduling problem optimally by dynamic programming JAS Gromicho, JJ van Hoorn, GT Timmer VU University Amsterdam, Faculty of Economics, Business Administration and …, 2009 | 5 | 2009 |
| A note on the worst case complexity for the capacitated vehicle routing problem JJ van Hoorn Faculteit der Economische Wetenschappen en Bedrijfskunde, 2010 | 2 | 2010 |
| A note on the paper: Solving the job-shop scheduling problem optimally by dynamic programming JJ van Hoorn, A Nogueira, I Ojea, JAS Gromicho Faculty of Economics and Business Administration, 2015 | 1 | 2015 |
| Dynamic Programming for Routing and Scheduling JJ van Hoorn PhD thesis, 2016 | | 2016 |
| Exponentially better than brute force: Solving the job-shop scheduling problem optimally by dynamic programming JAG Dos Santos, JJ van Hoorn, F Saldanha-da-Gama, GT Timmer | | 2009 |
| Exponentially better than brute force: Solving the job-shop scheduling problem optimally by dynamic programming JA Gromicho Dos Santos, JJ van Hoorn, F Saldanha-da-Gama, ... Faculteit der Economische Wetenschappen en Bedrijfskunde Research Memorandum, 2009 | | 2009 |
| Exponentially better than brute force: solving the jobshop scheduling problem optimally by dynamic programming JJ van Hoorn Research Memorandum 2009, 56, 0 | | |
| VU Research Portal JA Gromicho Dos Santos, JJ van Hoorn, F Saldanha-da-Gama, ... Research Memorandum 2009, 56, 0 | | |
Joaquim A. S. GromichoProfessor of Business Analytics, University of AmsterdamVerified email at uva.nl
