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作者:Mohammed Azmi Al-Betar
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.153-168Springer
摘要:Hill climbing method is an optimization technique that is able to build a search trajectory in the search space until reaching the local optima. It only accepts the uphill movement which leads it to easily get stuck in local optima. Several extensions to hill climbing have been p...
作者:... Alhamza Munther , Mohammed Azmi Al-Betar , Redhwan M. A. Saad
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.525-538Springer
摘要:A computer worm is a self-replicating malicious code that does not alter files but resides in active memory where it duplicates itself. Worms use parts of the operating system that are automatic and usually invisible to the user. Worms commonly exhibit abnormal behaviors, which b...
作者:... Putra Sumari , Saleh A. Alomari , Mohammed Azmi Al-Betar
来源:[J].Microsystem Technologies(IF 0.827), 2017, Vol.23 (7), pp.2521-2535Springer
摘要:In the near future, data is expected to double in every two years, which translates to more than one terabyte of data for every person on earth. The difficulty of storing and fetching required data from data centers and servers will consequently increase. As a result, significant...
作者:Mohammed Azmi Al-Betar , Ahamad Tajudin Khader ...
来源:[J].Journal of Applied Mathematics(IF 0.834), 2013, Vol.2013DOAJ
摘要:Structured population in evolutionary algorithms (EAs) is an importantresearch track where an individual only interacts with its neighboring individualsin the breeding step. The main rationale behind this is to providea high level of diversity to overcome the genetic drift. Cellu...
作者:... Nor Ashidi Mat Isa , Mohammad Fadel Klaib , Mohammed Azmi Al-Betar
来源:[J].Computational and Mathematical Methods in Medicine(IF 0.791), 2014, Vol.2014DOAJ
摘要:To date, cancer of uterine cervix is still a leading cause of cancer-related deaths in women worldwide. The current methods (i.e., Pap smear and liquid-based cytology (LBC)) to screen for cervical cancer are time-consuming and dependent on the skill of the cytopathologist and thu...
作者:Mohammed Azmi Al-Betar , Osama Ahmad Alomari , Saeid M. Abu-Romman
来源:[J].Genomics(IF 3.01), 2020, Vol.112 (1), pp.114-126Elsevier
摘要:Abstract(#br)Gene expression data are expected to make a great contribution in the producing of efficient cancer diagnosis and prognosis. Gene expression data are coded by large measured genes, and only of a few number of them carry precious information for different classes of s...
作者:Mohammed Azmi Al-Betar , Syibrah Naim ...
来源:[J].Applied Soft Computing Journal(IF 2.14), 2020, Vol.87Elsevier
摘要:Abstract(#br)Text document clustering (TDC) represents a key task in text mining and unsupervised machine learning, which partitions a specific documents’ collection into varied K-groups according to certain similarity/dissimilarity criterion. There exists a considerable amo...
作者:Mohammed Azmi Al-Betar , Mohammed A. Awadallah ...
来源:[J].Neurocomputing(IF 1.634), 2018, Vol.273, pp.448-465Elsevier
摘要:Abstract(#br)In this paper, alternative selection mechanisms in the bat-inspired algorithm for global optimization problems are studied. The bat-inspired algorithm is a recent swarm-based intelligent system which mimics the echolocation system of micro-bats. In the bat-inspi...
作者:Mohammed Azmi Al-Betar , Mohammed A. Awadallah
来源:[J].Expert Systems With Applications(IF 1.854), 2018, Vol.107, pp.126-145Elsevier
摘要:Abstract(#br)Structured population in evolutionary algorithms is a vital strategy to control diversity during the search. One of the most popular structured population strategies is the island model in which the population is divided into several sub-populations (islands). The EA...
作者:Mohammed Azmi Al-Betar , Mohammed A. Awadallah ...
来源:[J].Expert Systems With Applications(IF 1.854), 2018Elsevier
摘要:Abstract(#br)The selection process is the most attractive operator in the optimization algorithms. It normally mimics the natural selection of survival of the fittest principle. When the selection is too greedy, the selection pressure will be high and therefore the search becomes...

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