kambiz shojaee
kambiz shojaee
Ph.D. Candidate in Software engineering, Software Systems, Ferdowsi University of Mashhad
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Cited by
Cited by
Application of simulated annealing method to pressure and force loading optimization in tube hydroforming process
M Mirzaali, SMH Seyedkashi, GH Liaghat, HM Naeini, YH Moon
International Journal of Mechanical Sciences 55 (1), 78-84, 2012
Optimization of tube hydroforming process using simulated annealing algorithm
M Mirzaali, GH Liaghat, HM Naeini, SMH Seyedkashi, K Shojaee
Procedia Engineering 10, 3012-3019, 2011
The effect of tube dimensions on optimized pressure and force loading paths in tube hydroforming process
SMH Seyedkashi, HM Naeini, GH Liaghat, MM Mashadi, M Mirzaali, ...
Journal of mechanical science and technology 26 (6), 1817-1822, 2012
New simulated annealing algorithm for quadratic assignment problem
KS Ghandeshtani, N Mollai, SMH Seyedkashi, MM Neshati
The fourth international conference on advanced engineering computing and†…, 2010
Investigation on the choice of the initial temperature in the simulated annealing: A mushy state SA for TSP
K Shojaee
2009 17th Mediterranean Conference on Control and Automation, 1050-1055, 2009
Experimental and numerical investigation of an adaptive simulated annealing technique in optimization of warm tube hydroforming
SMH Seyedkashi, H Moslemi Naeini, G Liaghat, M Mosavi Mashadi, ...
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of†…, 2012
Tuning of digital PID controller using particle swarm optimization
M Dashti, K Shojaee, SMH Seyedkashi, M Behnam
Proceedings of the 29th Chinese Control Conference, 3383-3389, 2010
An intelligent approach for optimal regulation of blood glucose level
K Beyki, MD Javan, SG Kambiz, MM Neshati
2010 17th Iranian Conference of Biomedical Engineering (ICBME), 1-5, 2010
A novel mutation operator based on the union of fitness and design spaces information for differential evolution
H Sharifi-Noghabi, H Rajabi Mashhadi, K Shojaee
Soft Computing 21 (22), 6555-6562, 2017
Importance of the initial conditions and the time schedule in the simulated annealing
K Shojaee, H Shakouri, MB Taghadosi
Simulated Annealing, Theory with Applications, 2010
Novel simulated annealing algorithm in order to optimal adjustment of digital PID controller
JM Dashti, GK Shojaee, SMH Seyedkashi, TM Behnam
2010 11th International Conference on Control Automation Robotics & Vision†…, 2010
Comparative study of asynchronous pipeline design methods
K Shojaee, M Gholipour, A Afzali-Kusha, M Nourani
IEICE Electronics Express 3 (8), 163-171, 2006
An entropy-based self-adaptive simulated annealing
K Shojaee Ghandeshtani, HR Mashhadi
Engineering with Computers 37 (2), 1329-1355, 2021
Enhancement of SA algorithm by intelligent time schedule
M Rezaei
Proceedings of the 29th Chinese Control Conference, 1768-1774, 2010
Design and simulated annealing optimization of a static comparator for low-power high-speed CMOS VLSI
B Kheradmand-Boroujeni, K Shojaee, A Afzali-Kusha
2005 International Conference on Microelectronics, 355-359, 2005
Performance and power analysis of asynchronous pipeline design methods
M Gholipour, K Shojaee, A Khademzadeh, A Afzali-Kusha, M Nourani
Proceedings. The 16th International Conference on Microelectronics, 2004†…, 2004
Differential evolution with generalized mutation operator for parameters optimization in gene selection for cancer classification
HS Noghabi, HR Mashhadi, K Shojaei
arXiv preprint arXiv:1510.02516, 2015
Importance of the initial conditions and the time schedule in the Simulated Annealing
A Mus
SCIYO. COM, 217, 2010
An effective particle swarm optimization algorithm embedded in SA to solve the traveling salesman problem
GH Shakouri, K Shojaee, H Zahedi
Proceedings of the 21st annual international conference on Chinese control†…, 2009
An effective particle swarm optimization algorithm embedded in sa to solve the traveling salesman problem
K Shojaee, H Zahedi
2009 Chinese Control and Decision Conference, 5545-5550, 2009
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