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A Genetic Algorithm for Bi-Objective Assembly Line Balancing ProblemNourmohammadi Amir, Fathi Masood, Ruiz Zúñiga Enrique et al.Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK (519-524). Amsterdam: IOS Press, 2019.
A water-flow like algorithm for solving U-shaped assembly line balancing problems
Nourmohammadi Amir, Fathi Masood, Zandieh Mostafa et al.IEEE Access, 2019, 7, 129824-129833.
An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem
Fathi Masood, Nourmohammadi Amir, Ng Amos H. C. et al.Engineering computations, 2019.
An optimization model for balancing assembly lines with stochastic task times and zoning constraints
Fathi Masood, Nourmohammadi Amir, Ng Amos H. C. et al.IEEE Access, 2019, 7, 32537-32550.
Choosing efficient meta-heuristics to solve the assembly line balancing problem: A landscape analysis approach
Nourmohammadi Amir, Fathi Masood, Ng Amos H. C.Procedia CIRP, 2019, 81, 1248-1253.
Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines
Nourmohammadi Amir, Eskandari Hamidreza, Fathi Masood et al.International Journal of Production Research, 2019.