Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sayed Kaes Maruf Hossain"'
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)
The Ant Colony Optimization (ACO) algorithms have been well-studied by the Operations Research community for solving combinatorial optimization problems. A handful of researchers in the Data Science community have successfully implemented various ACO
Externí odkaz:
https://doaj.org/article/1de49912844245c7a4373d9af390352b
Autor:
Sayed Kaes Maruf Hossain, Azul Toledo Vega, Delia Valles-Rosales, Young Ho Park, Sarada Kuravi, Hansuk Sohn
Publikováno v:
Particulate Science and Technology. 41:350-360
Publikováno v:
Science and Engineering of Composite Materials, Vol 22, Iss 3, Pp 315-323 (2015)
A methodology of laminate design rules is proposed to incorporate constraint in genetic algorithm (GA). It can provide optimization result that conforms to the composite design rules. Several methods such as replacement approach, swap approach, combi
Publikováno v:
Volume 11: Systems, Design, and Complexity.
This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Assembly Line Balancing Type I Problem. PM introduces some new concepts that make the modeling process of large-scale complex industrial p
Autor:
Hossain, Sayed Kaes Maruf1 (AUTHOR) ypark@nmsu.edu, Toledo Vega, Azul1 (AUTHOR), Valles-Rosales, Delia1 (AUTHOR), Park, Young Ho2 (AUTHOR) shossain@nmsu.edu, Kuravi, Sarada2 (AUTHOR), Sohn, Hansuk1 (AUTHOR)
Publikováno v:
Particulate Science & Technology. 2023, Vol. 41 Issue 3, p350-360. 11p.
Publikováno v:
Applied Computational Intelligence & Soft Computing; 4/8/2022, p1-17, 17p
Publikováno v:
Proceedings of the 2017 International Annual Conference of the American Society for Engineering Management; 2017, p1-10, 10p
Publikováno v:
Proceedings of the 2017 International Annual Conference of the American Society for Engineering Management; 2017, p9-69, 61p