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ORCIDMohammad-Hassan Tayarani-Najaran
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Books and Theses
- 2013
[b1]Mohammad-H. Tayarani-N.:
Analysis of the fitness landscape for the class of combinatorial optimisation problems. University of Southampton, UK, 2013
Journal Articles
- 2024
- [j23]Mohammad-H. Tayarani-N.
:
Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models. Appl. Soft Comput. 154: 111359 (2024) - 2023
- [j22]Mohammad-Hassan Tayarani-Najaran:
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images. Artif. Intell. Medicine 142: 102571 (2023) - [j21]Mohammad-Hassan Tayarani-Najaran:
An evolutionary ensemble convolutional neural network for fault diagnosis problem. Expert Syst. Appl. 233: 120678 (2023) - [j20]Mohammad-Hassan Tayarani-Najaran:
A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding. Genet. Program. Evolvable Mach. 24(2): 14 (2023) - 2022
- [j19]Mohammad-Hassan Tayarani-Najaran:
A Novel Ensemble Machine Learning and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6362-6372 (2022) - 2021
- [j18]Mohammad-Hassan Tayarani-Najaran:
How to exploit fitness landscape properties of timetabling problem: A new operator for quantum evolutionary algorithm. Expert Syst. Appl. 168: 114211 (2021) - [j17]Mohammad-H. Tayarani-N.:
Novel operators for quantum evolutionary algorithm in solving timetabling problem. Evol. Intell. 14(4): 1869-1893 (2021) - 2020
- [j16]Mohammad-Hassan Tayarani-Najaran, Mohammad Reza Akbarzadeh-Totonchi:
Probabilistic optimization algorithms for real-coded problems and its application in Latin hypercube problem. Expert Syst. Appl. 160: 113589 (2020) - 2017
- [j15]Javad Hajian Nezhad, Majid Vafaei Jahan, Mohammad-H. Tayarani-N., Zohre Sadrnezhad:
Analyzing new features of infected web content in detection of malicious web pages. ISC Int. J. Inf. Secur. 9(2): 161-181 (2017) - 2016
- [j14]Mohammad-H. Tayarani-N., Adam Prügel-Bennett:
An Analysis of the Fitness Landscape of Travelling Salesman Problem. Evol. Comput. 24(2): 347-384 (2016) - [j13]Mahdi Aziz, Mohammad-H. Tayarani-N., Mohammad Reza Meybodi:
A two-objective memetic approach for the node localization problem in wireless sensor networks. Genet. Program. Evolvable Mach. 17(4): 321-358 (2016) - [j12]Mahdi Aziz, Mohammad-H. Tayarani-N.:
Opposition-based Magnetic Optimization Algorithm with parameter adaptation strategy. Swarm Evol. Comput. 26: 97-119 (2016) - [j11]M. Mehdi Afsar, Mohammad-H. Tayarani-N., Mehdi Aziz:
An adaptive competition-based clustering approach for wireless sensor networks. Telecommun. Syst. 61(1): 181-204 (2016) - 2015
- [j10]Mohammad-H. Tayarani-N., Adam Prügel-Bennett:
Quadratic assignment problem: a landscape analysis. Evol. Intell. 8(4): 165-184 (2015) - [j9]Mohammad-Hassan Tayarani-Najaran, Adam Prügel-Bennett:
Anatomy of the fitness landscape for dense graph-colouring problem. Swarm Evol. Comput. 22: 47-65 (2015) - [j8]Mohammad-H. Tayarani-N., Xin Yao, Hongming Xu:
Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey. IEEE Trans. Evol. Comput. 19(5): 609-629 (2015) - 2014
- [j7]Mahdi Aziz, Mohammad-H. Tayarani-N.:
An adaptive memetic Particle Swarm Optimization algorithm for finding large-scale Latin hypercube designs. Eng. Appl. Artif. Intell. 36: 222-237 (2014) - [j6]Mohammad-H. Tayarani-N., M.-R. Akbarzadeh-T.:
Improvement of the performance of the Quantum-inspired Evolutionary Algorithms: structures, population, operators. Evol. Intell. 7(4): 219-239 (2014) - [j5]M. Mehdi Afsar, Mohammad-H. Tayarani-N.:
Clustering in sensor networks: A literature survey. J. Netw. Comput. Appl. 46: 198-226 (2014) - [j4]Mohammad-H. Tayarani-N., M.-R. Akbarzadeh-T.:
Magnetic-inspired optimization algorithms: Operators and structures. Swarm Evol. Comput. 19: 82-101 (2014) - [j3]Mohammad-Hassan Tayarani-Najaran, Adam Prügel-Bennett:
On the Landscape of Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 18(3): 420-434 (2014) - 2012
- [j2]Adam Prügel-Bennett, Mohammad-Hassan Tayarani-Najaran:
Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem. IEEE Trans. Evol. Comput. 16(3): 319-338 (2012) - 2011
- [j1]Mohammad-H. Tayarani-N., M. Beheshti, J. Sabet, M. Mobasher, H. Joneid:
A New Initialization Method and a New Update Operator for Quantum Evolutionary Algorithms in Solving Fractal Image Compression. J. Multim. Process. Technol. 2(2): 67-75 (2011)
Conference and Workshop Papers
- 2016
- [c5]Mohammad-H. Tayarani-N., Adam Prügel-Bennett, Hongming Xu, Xin Yao:
Improving the performance of evolutionary engine calibration algorithms with principal component analysis. CEC 2016: 5128-5137 - 2009
- [c4]Mehdi Torshizi, Mohammad-H. Tayarani-N.:
Functional Sized Population Magnetic Optimization Algorithm. IWNC 2009: 316-324 - 2008
- [c3]Mohammad-H. Tayarani-N., Mohammad R. Akbarzadeh-Totonchi:
Magnetic Optimization Algorithms a new synthesis. IEEE Congress on Evolutionary Computation 2008: 2659-2664 - [c2]Mohammad-H. Tayarani-N., Mohammad R. Akbarzadeh-Totonchi:
A cellular structure and diversity preserving operator in Quantum Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2008: 2665-2670 - [c1]Mohammad R. Akbarzadeh-Totonchi, Mohammad-H. Tayarani-N.:
Cellular Probabilistic Evolutionary Algorithms for Real-Coded Function Optimization. CSICC 2008: 741-744
Coauthor Index
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