Pengfei-He

Associate Research Fellow, School of Automation, Southeast University, China 08/2023
E-mail: pengfeihe606[at]gmail.com

Research Interests

Combinatorial optimization; Vehicle routing; System engineering; Metaheuristics; Genetic algorithms.

Working experience

Post doctor at Unviersity of Angers 11/2022-07/2023

Honor & Award

Second place at the 12th DIMACS Implementation Challenge on Vehicle Routing – SDVRP Track
My thesis won the second place at the Prix de la meilleure thèse en transport et logistique 2023

Selected publications

(See also google scholar)

Journal Papers
  1. Pengfei He, Jin-Kao Hao, Jinhui Xia. (2024). Learning-guided iterated local search for the minmax multiple traveling salesman problem. arXiv preprint arXiv:2403.12389.
  2. Pengfei He, Jin-Kao Hao, Qinghua Wu. (2024). A Multi-population Integrated Approach for Capacitated Location Routing. arXiv preprint arXiv:2403.09361.
  3. Pengfei He, Jin-Kao Hao, Qinghua Wu. A hybrid genetic algorithm for the Hamiltonian p-median problem. Networks. Accept.
  4. Pengfei He, Jin-Kao Hao, Qinghua Wu. Hybrid genetic algorithm for undirected traveling salesman problems with profits. Networks. 82(3)(2023): 189-221.
  5. Pengfei He, Jin-Kao Hao. Memetic search for the minmax multiple traveling salesman problem with single and multiple depots. European Journal of Operational Research. 307(3)(2023):1055-1070.
  6. Pengfei He, Jin-Kao Hao. General edge assembly crossover driven memetic search for split delivery vehicle routing. Transportation Science, 57(2) (2023): 482-511.
  7. Pengfei He, Jin-Kao Hao. Hybrid search with neighborhood reduction for the multiple traveling salesman problem. Computers & Operations Research, 142 (2022): 105726.
  8. Pengfei He, Jin-Kao Hao, Qinghua Wu. Grouping memetic search for the colored traveling salesmen problem. Information Sciences, 570 (2021): 689-707.
  9. Pengfei He, Jin-Kao Hao. Iterated two-phase local search for the colored traveling salesmen problem. Engineering Applications of Artificial Intelligence, 97 (2021): 104018.
  10. Pengfei He, Jing Li, Hailong Qin, Zairui He. Fields distinguished by edges and middles visited by heterogeneous vehicles to minimize non-working distances. Computers and Electronics in Agriculture, 170 (2020): 105273.
  11. Pengfei He, Jing Li, Hailong Qin, Yanping He, Guangqiao Cao. Using hybrid algorithm to reduce non-working distance in intra-and inter-field logistics simultaneously for heterogeneous harvesters. Computers and Electronics in Agriculture, 167 (2019): 105065.
  12. Pengfei He, Jing Li, Enze Fang, Peter deVoil, Guangqiao Cao. Reducing agricultural fuel consumption by minimizing inefficiencies. Journal of Cleaner Production, 236 (2019): 117619.
  13. Pengfei He, Jing Li. The two-echelon multi-trip vehicle routing problem with dynamic satellites for crop harvesting and transportation. Applied Soft Computing, 77 (2019), 387-398.
  14. Pengfei He, Jing Li, Dongqing Zhang, Shan Wan. Optimisation of the harvesting time of rice in moist and non-moist dispersed fields. Biosystems Engineering, 170 (2018), 12-23.
  15. Pengfei He, Jing Li, Xin Wang. Wheat harvest schedule model for agricultural machinery cooperatives considering fragmental farmlands. Computers and Electronics in Agriculture, 145 (2018): 226-234.
Education

Ph.D. in University of Angers, France, 10/2022. Supervised by Prof. Jin-Kao Hao. Here is my thesis.
M.A. in Nanjing Agricultural Unviersity, China, 6/2019
B.A. in Nanjing Agricultural Unviersity, China, 6/2016