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Number of items: 13.

Article

Chen, Binhui, Qu, Rong, Bai, Ruibin and Laesanklang, Wasakorn (2018) A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. Applied Intelligence, 48 . pp. 4937-4959. ISSN 1573-7497

Chen, Binhui, Qu, Rong, Bai, Ruibin and Laesanklang, Wasakorn (2018) A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. Applied Intelligence . ISSN 1573-7497

Curtois, Timothy, Landa-Silva, Dario, Qu, Yi and Laesanklang, Wasakorn (2018) Large neighbourhood search with adaptive guided ejection search for the pickup and delivery problem with time windows. Euro Journal of Transportation and Logistics, 7 (2). pp. 151-192. ISSN 2192-4376

Pinheiro, Rodrigo Lankaites, Landa-Silva, Dario, Laesanklang, Wasakorn and Constantino, Ademir Aparecido (2018) An efficient application of goal programming to tackle multiobjective problems with recurring fitness landscapes. Communications in Computer and Information Science . ISSN 1865-0929 (In Press)

Laesanklang, Wasakorn and Landa-Silva, Dario (2017) Decomposition techniques with mixed integer programming and heuristics for home healthcare planning. Annals of Operations Research, 256 (1). pp. 93-127. ISSN 1572-9338

Conference or Workshop Item

Pinheiro, Rodrigo Lankaites, Landa-Silva, Dario, Laesanklang, Wasakorn and Constantino, Ademir Aparecido (2018) Using goal programming on estimated Pareto fronts to solve multiobjective problems. In: 7th International Conference on Operations Research and Enterprise Systems (ICORES 2018), 24-26 January 2018, Funchal, Portugal.

Curtois, Timothy, Laesanklang, Wasakorn, Landa-Silva, Dario, Mesgarpour, Mohammad and Qu, Yi (2017) Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations. In: 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), 23-25 February 2017, Porto, Portugal.

Laesanklang, Wasakorn, Landa-Silva, Dario and Castillo-Salazar, J. Arturo (2016) Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints. In: Proceedings of the 5th International Conference on Operations Research and Enterprise Systems (ICORES 2016), 23-27 Feb 2016, Rome, Italy.

Laesanklang, Wasakorn, Landa-Silva, Dario and Castillo-Salazar, J. Arturo (2015) Mixed integer programming with decomposition to solve a workforce scheduling and routing problem. In: International Conference on Operations Research and Enterprise Systems (ICORES 2015), 10-12 January 2015, Lisbon, Portugal.

Book Section

Laesanklang, Wasakorn, Landa-Silva, Dario and Castillo-Salazar, J. Arturo (2017) An investigation of heuristic decomposition to tackle workforce scheduling and routing with time-dependent activities constraints. In: Operations research and enterprise systems. Communications in Computer and Information Science (695). Springer, Cham, pp. 239-260. ISBN 9783319539829

Laesanklang, Wasakorn, Landa-Silva, Dario and Castillo-Salazar, J. Arturo (2016) An investigation of heuristic decomposition to tackle workforce scheduling and routing with time-dependent activities constraints. In: Operations research and enterprise systems. Communications in computer and information science . Springer, Cham. (In Press)

Laesanklang, Wasakorn, Pinheiro, Rodrigo Lankaites, Algethami, Haneen and Landa-Silva, Dario (2015) Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem. In: Operations research and enterprise systems: 4th International Conference, ICORES 2015, Lisbon, Portugal, January 10-12, 2015: revised selected papers. Communications in computer and information science (577). Springer, Cham, pp. 191-211. ISBN 9783319276793

Thesis (University of Nottingham only)

Laesanklang, Wasakorn (2017) Heuristic decomposition and mathematical programming for workforce scheduling and routing problems. PhD thesis, University of Nottingham.

This list was generated on Thu Dec 26 06:32:06 2024 UTC.