Magnetic Optimization Algorithms a new synthesis. - Mohammad-H. Tayarani-N.; Mohammad R. Akbarzadeh-Totonchi (IEEE Congress on Evolutionary Computation, 2008)

A cellular structure and diversity preserving operator in Quantum Evolutionary Algorithms. - Mohammad-H. Tayarani-N.; Mohammad R. Akbarzadeh-Totonchi (IEEE Congress on Evolutionary Computation, 2008)

Cellular Probabilistic Evolutionary Algorithms for Real-Coded Function Optimization. - Mohammad R. Akbarzadeh-Totonchi; Mohammad-H. Tayarani-N. (CSICC, 2008)

Functional Sized Population Magnetic Optimization Algorithm. - Mehdi Torshizi; Mohammad-H. Tayarani-N. (IWNC, 2009)

A New Initialization Method and a New Update Operator for Quantum Evolutionary Algorithms in Solving Fractal Image Compression. - Mohammad-H. Tayarani-N.; M. Beheshti; J. Sabet; M. Mobasher; H. Joneid (J. Multim. Process. Technol., 2011)

Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem. - Adam Prügel-Bennett; Mohammad-Hassan Tayarani-Najaran (IEEE Trans. Evol. Comput., 2012)

Analysis of the fitness landscape for the class of combinatorial optimisation problems. - Mohammad-H. Tayarani-N. (2013)

An adaptive memetic Particle Swarm Optimization algorithm for finding large-scale Latin hypercube designs. - Mahdi Aziz; Mohammad-H. Tayarani-N. (Eng. Appl. Artif. Intell., 2014)

Improvement of the performance of the Quantum-inspired Evolutionary Algorithms: structures, population, operators. - Mohammad-H. Tayarani-N.; M.-R. Akbarzadeh-T. (Evol. Intell., 2014)

Clustering in sensor networks: A literature survey. - M. Mehdi Afsar; Mohammad-H. Tayarani-N. (J. Netw. Comput. Appl., 2014)

Magnetic-inspired optimization algorithms: Operators and structures. - Mohammad-H. Tayarani-N.; M.-R. Akbarzadeh-T. (Swarm Evol. Comput., 2014)

On the Landscape of Combinatorial Optimization Problems. - Mohammad-Hassan Tayarani-Najaran; Adam Prügel-Bennett (IEEE Trans. Evol. Comput., 2014)

Quadratic assignment problem: a landscape analysis. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett (Evol. Intell., 2015)

Anatomy of the fitness landscape for dense graph-colouring problem. - Mohammad-Hassan Tayarani-Najaran; Adam Prügel-Bennett (Swarm Evol. Comput., 2015)

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey. - Mohammad-H. Tayarani-N.; Xin Yao 001; Hongming Xu 001 (IEEE Trans. Evol. Comput., 2015)

Improving the performance of evolutionary engine calibration algorithms with principal component analysis. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett; Hongming Xu 001; Xin Yao 001 (CEC, 2016)

An Analysis of the Fitness Landscape of Travelling Salesman Problem. - Mohammad-H. Tayarani-N.; Adam Prügel-Bennett (Evol. Comput., 2016)

A two-objective memetic approach for the node localization problem in wireless sensor networks. - Mahdi Aziz; Mohammad-H. Tayarani-N.; Mohammad Reza Meybodi (Genet. Program. Evolvable Mach., 2016)

Opposition-based Magnetic Optimization Algorithm with parameter adaptation strategy. - Mahdi Aziz; Mohammad-H. Tayarani-N. (Swarm Evol. Comput., 2016)

An adaptive competition-based clustering approach for wireless sensor networks. - M. Mehdi Afsar; Mohammad-H. Tayarani-N.; Mehdi Aziz (Telecommun. Syst., 2016)

Analyzing new features of infected web content in detection of malicious web pages. - Javad Hajian Nezhad; Majid Vafaei Jahan; Mohammad-H. Tayarani-N.; Zohre Sadrnezhad (ISC Int. J. Inf. Secur., 2017)

Probabilistic optimization algorithms for real-coded problems and its application in Latin hypercube problem. - Mohammad-Hassan Tayarani-Najaran; Mohammad Reza Akbarzadeh-Totonchi (Expert Syst. Appl., 2020)

How to exploit fitness landscape properties of timetabling problem: A new operator for quantum evolutionary algorithm. - Mohammad-Hassan Tayarani-Najaran (Expert Syst. Appl., 2021)

Novel operators for quantum evolutionary algorithm in solving timetabling problem. - Mohammad-H. Tayarani-N. (Evol. Intell., 2021)

A Novel Ensemble Machine Learning and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies. - Mohammad-Hassan Tayarani-Najaran (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images. - Mohammad-Hassan Tayarani-Najaran (Artif. Intell. Medicine, 2023)

An evolutionary ensemble convolutional neural network for fault diagnosis problem. - Mohammad-Hassan Tayarani-Najaran (Expert Syst. Appl., 2023)

A probabilistic meta-heuristic optimisation algorithm for image multi-level thresholding. - Mohammad-Hassan Tayarani-Najaran (Genet. Program. Evolvable Mach., 2023)

Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models. - Mohammad-H. Tayarani-N. (Appl. Soft Comput., 2024)

An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends. - Mohammad-H. Tayarani-N.; Amin Paykani (Appl. Soft Comput., 2025)