Pengfei-He

<img align=right src=https://q3.itc.cn/q_70/images03/20240617/46ade073abe0462ebc2d51550c15251f.jpeg width = 30% />
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](http://dimacs.rutgers.edu/programs/challenge/vrp/) – [SDVRP Track](http://dimacs.rutgers.edu/programs/challenge/vrp/vrpsd/) >My thesis won the second place at the [Prix de la meilleure thèse en transport et logistique 2023](https://perso.isima.fr/~lacomme/GT2L/these_2023/accueil.php) Selected publications(See also [google scholar](https://scholar.google.com/citations?user=cecmh5gAAAAJ&hl=en)) 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.](https://leria-info.univ-angers.fr/~jinkao.hao/#Publi) [Here](https://github.com/pengfeihe-angers/thesis/blob/main/thesis_Pengfei%20He__final.pdf) is my thesis. >M.A. in Nanjing Agricultural Unviersity, China, 6/2019 >B.A. in Nanjing Agricultural Unviersity, China, 6/2016