Adel Nikfarjam

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

I received my bachelor and master degrees in Industrial Engineering from Azad University in 2011 and 2017, respectively. Currently, I am a PhD candidate at the optimisation research group of the school of computer science at the University of Adelaide.
My research interests mostly include the applications of Operations Research, Particularly in logistics as well as evolutionary computation.

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Research Interests

Logistics & Transportation Logistics and Supply Chain Management Optimisation

Journals

Year	Citation
2021	Nikfarjam, A., & Moosavi, A. (2021). An integrated (1, T) inventory policy and vehicle routing problem under uncertainty: an accelerated Benders decomposition algorithm. Transportation Letters, 13(2), 1-21. DOI Scopus5 WoS5
2019	Moosavi, A., & Nikfarjam, A. (2019). A multi-path routing-inventory problem for a closed-loop supply chain considering the heterogeneous fleet of vehicles. International Journal of Sustainable Engineering, 12(3), 174-188. DOI Scopus4 WoS4
2019	Rezaei, N., Ebrahimnejad, S., Moosavi, A., & Nikfarjam, A. (2019). A green vehicle routing problem with time windows considering the heterogeneous fleet of vehicles: Two metaheuristic algorithms. European Journal of Industrial Engineering, 13(4), 507-535. DOI Scopus19 WoS17

Conference Papers

Year	Citation
2023	Nikfarjam, A., Rothenberger, R., Neumann, F., & Friedrich, T. (2023). Evolutionary Diversity Optimisation in Constructing Satisfying Assignments. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO, 2023) Vol. abs/2305.11457 (pp. 938-945). Online: Association for Computing Machinery. DOI
2022	Nikfarjam, A., Neumann, A., & Neumann, F. (2022). Evolutionary diversity optimisation for the traveling thief problem. In J. E. Fieldsend, & M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22) Vol. abs/2204.02709 (pp. 749-756). New York, NY: Association for Computing Machinery. DOI Scopus3 WoS3
2022	Nikfarjam, A., Neumann, A., Bossek, J., & Neumann, F. (2022). Co-evolutionary Diversity Optimisation for the Traveling Thief Problem. In G. Rudolph, A. V. Kononova, H. E. Aguirre, P. Kerschke, G. Ochoa, & T. Tusar (Eds.), Proceedings, Part I of the 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), as published in Lecture Notes in Computer Science Vol. 13398 (pp. 237-249). Online: Springer. DOI Scopus1 WoS1
2022	Nikfarjam, A., Viet Do, A., & Neumann, F. (2022). Analysis of Quality Diversity Algorithms for the Knapsack Problem. In Proceedings, Part II of the 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), as published in Lecture Notes in Computer Science Vol. 13399 (pp. 413-427). Online: Springer. DOI Scopus3 WoS2
2022	Nikfarjam, A., Moosavi, A., Neumann, A., & Neumann, F. (2022). Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation. In G. Rudolph, A. V. Kononova, H. E. Aguirre, P. Kerschke, G. Ochoa, & T. Tusar (Eds.), Proceedings, Part I of the 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), as published in Lecture Notes in Computer Science Vol. 13398 (pp. 250-264). Online: Springer. DOI Scopus2 WoS1
2021	Nikfarjam, A., Bossek, J., Neumann, A., & Neumann, F. (2021). Entropy-based evolutionary diversity optimisation for the traveling salesperson problem. In F. Chicano, & K. Krawiec (Eds.), GECCO ’21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021 (pp. 600-608). Lille, France: ACM. DOI Scopus13
2021	Nikfarjam, A., Bossek, J., Neumann, A., & Neumann, F. (2021). Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation. In Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA 2021) (pp. 9-1-9-11). New York, NY: Association for Computing Machinery. DOI Scopus6 WoS6
2017	Nikfarjam, A., Tayebi, H., & Ebrahimnejad, S. (2017). Applying an ordering policy in a two echelon inventory system to eliminate the uncertainty of poisson demand in the upstream level. In Proceedings of International Conference on Computers and Industrial Engineering, CIE Vol. 0.

Email: adel.nikfarjam@adelaide.edu.au

Adel Nikfarjam

Research Interests

Journals

Conference Papers

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