Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Zamli Kamal Z."'
Keywords perform a significant role in selecting various topic-related documents quite easily. Topics or keywords assigned by humans or experts provide accurate information. However, this practice is quite expensive in terms of resources and time man
Externí odkaz:
http://arxiv.org/abs/2111.07068
Publikováno v:
Neural Computing and Applications 2021
This paper discusses a new variant of the Henry Gas Solubility Optimization (HGSO) Algorithm, called Hybrid HGSO (HHGSO). Unlike its predecessor, HHGSO allows multiple clusters serving different individual meta-heuristic algorithms (i.e., with its ow
Externí odkaz:
http://arxiv.org/abs/2105.14923
Autor:
Azad, Saiful, Mahmud, Mufti, Zamli, Kamal Z., Kaiser, M. Shamim, Jahan, Sobhana, Razzaque, Md. Abdur
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part B
Publikováno v:
IEEE Transactions on Software Engineering 2021
Software module clustering is an unsupervised learning method used to cluster software entities (e.g., classes, modules, or files) with similar features. The obtained clusters may be used to study, analyze, and understand the software entities' struc
Externí odkaz:
http://arxiv.org/abs/2012.01057
Publikováno v:
Soft Computing Journal 2020
Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. This work focuses on the selection type of hyper-heuristic, called the Exponential Monte
Externí odkaz:
http://arxiv.org/abs/2002.07443
Autor:
Zamli, Kamal Z., Din, Fakhrud, Alhadawi, Hussam S., Khalid, Shah, Alsolai, Hadeel, Nour, Mohamed K., Al-Wesabi, Fahd N., Assam, Muhammad
Publikováno v:
In ICT Express August 2023 9(4):619-627
Nowadays, ensuring the quality becomes challenging for most modern software systems when constraints are given for the combinations of configurations. Combinatorial interaction strategies can systematically reduce the number of test cases to construc
Externí odkaz:
http://arxiv.org/abs/1909.07292
Autor:
Ahmed, Bestoun S., Gargantini, Angelo, Zamli, Kamal Z., Yilmaz, Cemal, Bures, Miroslav, Szeles, Marek
Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. In many applications, the technique has been used as a systematic sampling technique to sample the enormous poss
Externí odkaz:
http://arxiv.org/abs/1907.09029
Publikováno v:
2017 Engineering Applications of Artificial Intelligence
The teaching learning-based optimization (TLBO) algorithm has shown competitive performance in solving numerous real-world optimization problems. Nevertheless, this algorithm requires better control for exploitation and exploration to prevent prematu
Externí odkaz:
http://arxiv.org/abs/1906.08855
Owing to the significance of combinatorial search strategies both for academia and industry, the introduction of new techniques is a fast growing research field these days. These strategies have really taken different forms ranging from simple to com
Externí odkaz:
http://arxiv.org/abs/1904.02960