salam salameh shreem, mohd zakree ahmad nazri, salwani abdullah and nor samsiah sani.  (2022).  hybrid symmetrical uncertainty and reference set harmony search algorithm for gene selection problem.  - mathematics.  1-26. 

salwani abdullah, ayad turky, mohd zakree ahmad nazri, and nasser r. sabar.  (2021).  an evolutionary variable neighbourhood search for the unrelated parallel machine scheduling problem.  - ieee access.  42857-42867. 

hossam m. j. mustafa, masri ayob, mohd zakree ahmad nazri,graham kendall.  (2019).  an improved adaptive memetic differential evolution optimization algorithms for data clustering problems.  - plos one.  1-17. 

esam taha yassen, masri ayob, mohd zakree ahmad nazri, nasser r. sabar.  (2017).  an adaptive hybrid algorithm for vehicle routing problems with time windows.  - computers & industrial engineering.  382-391. 

wathiq laftah al-yaseen, zulaiha ali othman and mohd zakree ahmad nazri.  (2017).  real-time multi-agent system for an adaptive intrusion detection system.  - pattern recognition letters.  56-64. 

salam salameh shreem, salwani abdullah and mohd zakree ahmad nazri.  (2016).  hybrid feature selection algorithm using symmetrical uncertainty and a harmony search algorithm.  - international journal of systems science.  1312-1329. 

esam taha yassen, masri ayob, mohd zakree ahmad nazri and nasser r. sabar.  (2015).  meta-harmony search algorithm for the vehicle routing problem with time windows.  - information sciences.  140-158. 

salam salameh shreem, salwani abdullah, mohd zakree ahmad nazri.  (2014).  hybridising harmony search with a markov blanket for gene selection problems.  - information sciences.  258(2014) 108-121. 

ahmed mohammed abbas, azuraliza abu bakar, mohd zakree ahmad.  (2014).  fast dynamic clustering soap messages based compression and aggregation model for enhanced performance of web services.  - journal of network and computer applications.  41:80-88. 

salwani abdullah, nasser r. sabar, mohd zakree ahmad nazri, masri ayob.  (2014).  an exponential monte-carlo algorithm for feature selection problems.  - computers & industrial engineering.  67(2014):160-167.