MSO Lab is an in-depth research unit of Optimization. The main research areas of MSO Lab include: Artificial Intelligence and Machine Learning, Algorithms and Optimization, High Performance Computing. MSO Lab guides basic research and publishes research results in leading international journals and conferences. MSO Lab will pioneer the applications of basic algorithms and optimization researches to solve practical problems such as logistics, scheduling, intelligent systems, network design problems, and sensor networks optimization problems.
MSO Lab cooperates with strong research teams of foreign universities such as Melbourne University, University of Sydney, Nanyang Technological University, and some Vietnamese international corporations such as Cinnamon, DAC, etc.
MSO Lab has been presiding over 04 National Foundation of Science and Technology projects (NAFOSTED) cooperating with Belgium and Germany partners, 02 Ministerial-level Research projects, 01 State-level Research project, 01 International collaboration projects sponsored by US Army Research Lab.


     Recent publications

55 entries « 1 of 19 »


Binh, Huynh Thi Thanh; Hanh, Nguyen Thi ; Quan, La Van ; Nghia, Nguyen Duc ; Dey, Nilanjan

Metaheuristics for maximization of obstacles constrained area coverage in heterogeneous wireless sensor networks Journal Article

Appl. Soft Comput., 86 , 2020.

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Ha, Quang Minh; Deville, Yves ; Dung, Pham Quang ; Hà, Minh Hoàng

A hybrid genetic algorithm for the traveling salesman problem with drone Journal Article

J. Heuristics, 26 (2), pp. 219–247, 2020.

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Nguyen, Thi Tam; Binh, Huynh Thi Thanh ; Dung, Dinh Anh ; Lan, Phan Ngoc ; Le, Vinh Trong ; Yuan, Bo ; Yao, Xin

A hybrid clustering and evolutionary approach for wireless underground sensor network lifetime maximization Journal Article

Inf. Sci., 504 , pp. 372–393, 2019.

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55 entries « 1 of 19 »