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Article

Algethami, Haneen, Martinez-Gavara, Anna and Landa-Silva, Dario (2018) Adaptive multiple crossover genetic algorithm to solve Workforce Scheduling and Routing Problem. Journal of Heuristics . ISSN 1381-1231 (In Press)

Conference or Workshop Item

Algethami, Haneen and Landa-Silva, Dario (2017) Diversity-based adaptive genetic algorithm for a workforce scheduling and routing problem. In: 2017 IEEE Congress on Evolutionary Computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain.

Algethami, Haneen, Landa-Silva, Dario and Martinez-Gavara, Anna (2017) Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem. In: 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), 23-25 February 2017, Porto, Portugal.

Algethami, Haneen, Pinheiro, Rodrigo Lankaites and Landa-Silva, Dario (2016) A Genetic Algorithm for a Workforce Scheduling and Routing Problem. In: IEEE Congress on Evolutionary Computation (IEEE CEC 2016), 25-29 July 2016, Vancouver, Canada.

Algethami, Haneen and Landa-Silva, Dario (2015) A study of genetic operators for the Workforce Scheduling and Routing Problem. In: 11th Metaheuristics International Conference (MIC 2015), 7-10 June 2015, Agadir, Morocco.

Book Section

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)

Algethami, Haneen (2017) Genetic algorithms for workforce scheduling and routing problem. PhD thesis, University of Nottingham.