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Ahmad Mozaffari
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2010 – 2019
- 2019
- [j53]Ahmad Mozaffari, Mahdi Emami, Alireza Fathi:
A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints. Artif. Intell. Rev. 52(4): 2319-2380 (2019) - 2018
- [j52]Ahmad Mozaffari:
Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization. Int. J. Intell. Comput. Cybern. 11(2): 197-233 (2018) - [j51]S. Mohammadrezaei Nodeh, Ahmad Mozaffari, M. Ghaneh, F. Bakhtiarinejad:
Fabrication of a resonant PEMC sensor using hybrid $$\upvarepsilon $$ ε -constraint lexicographical ranking DE-MSBA with Jacobean approximation. Memetic Comput. 10(2): 209-231 (2018) - 2017
- [j50]Ahmad Mozaffari, Katharine Andrea Scott, Nasser L. Azad, Shoja'eddin Chenouri:
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Appl. Intell. 46(1): 16-33 (2017) - [j49]Ahmad Mozaffari, Nasser L. Azad:
Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges. Int. J. Bio Inspired Comput. 9(1): 19-34 (2017) - [j48]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
Comparisons of several variants of continuous quantum-inspired evolutionary algorithms. J. Exp. Theor. Artif. Intell. 29(4): 869-909 (2017) - [j47]Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi:
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions. Int. J. Mach. Learn. Cybern. 8(3): 955-979 (2017) - [j46]Ahmad Mozaffari, Katharine Andrea Scott, Shoja'eddin Chenouri, Nasser L. Azad:
A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Comput. 21(16): 4635-4659 (2017) - 2016
- [j45]Ahmad Mozaffari, Nasser L. Azad:
Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations. Artif. Intell. Rev. 46(2): 167-223 (2016) - [j44]Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick, Amir Taghavipour:
A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions. Eng. Appl. Artif. Intell. 48: 72-94 (2016) - [j43]Sayed Mahmood Rabiee, Ahmad Mozaffari, Alireza Fathi:
Investigation of hydroxyapatite dicalcium phosphate scaffold properties using a Lamarckian immune neural network. Int. J. Comput. Appl. Technol. 53(4): 323-335 (2016) - [j42]Ahmad Mozaffari, Nasser L. Azad:
Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling. Int. J. Comput. Appl. Technol. 54(1): 23-41 (2016) - [j41]Mahdi Emami, Ahmad Mozaffari, Nasser L. Azad, Behrooz Rezaie:
An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes. Int. J. Comput. Math. 93(1): 3-26 (2016) - [j40]Nasser L. Azad, Ahmad Mozaffari, J. Karl Hedrick:
A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction. Neurocomputing 173: 1124-1141 (2016) - [j39]Ahmad Mozaffari, Nasser L. Azad, Mahdi Emami, Alireza Fathi:
Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines. J. Exp. Theor. Artif. Intell. 28(3): 581-606 (2016) - [j38]Ahmad Mozaffari, Nasser L. Azad, J. Karl Hedrick:
A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction. IEEE Trans. Veh. Technol. 65(6): 4548-4563 (2016) - [c1]Ahmad Mozaffari, Alireza Doosthoseini, Bijan Sakhdari, Mahyar Vajedi, Nasser L. Azad:
Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation. ACC 2016: 7219-7224 - 2015
- [j37]Ahmad Mozaffari, Nasser L. Azad:
An ensemble neuro-fuzzy radial basis network with self-adaptive swarm based supervisor and negative correlation for modeling automotive engine coldstart hydrocarbon emissions: A soft solution to a crucial automotive problem. Appl. Soft Comput. 32: 449-467 (2015) - [j36]Ahmad Mozaffari, Mehdi Emami, Nasser L. Azad, Alireza Fathi:
A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis. Int. J. Appl. Evol. Comput. 6(1): 1-29 (2015) - [j35]Ahmad Mozaffari, Nasser L. Azad:
A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures. Int. J. Comput. Intell. Appl. 14(4): 1550024:1-1550024:23 (2015) - [j34]Reza Akbari Alashti, Mofid Gorji-Bandpy, Ahmad Mozaffari:
Vector mutable smart bee algorithm for engineering optimisation. Int. J. Comput. Sci. Eng. 10(1/2): 155-163 (2015) - [j33]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Simultaneous knowledge-based identification and optimization of PHEV fuel economy using hyper-level Pareto-based chaotic Lamarckian immune algorithm, MSBA and fuzzy programming. Int. J. Intell. Comput. Cybern. 8(1): 2-27 (2015) - [j32]Ahmad Mozaffari, Nasser L. Azad, Alireza Fathi:
Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories. Int. J. Intell. Comput. Cybern. 8(2): 102-138 (2015) - [j31]Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad:
A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor. Neurocomputing 151: 845-856 (2015) - [j30]Ahmad Mozaffari, Saeed Behzadipour:
A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery. Neurocomputing 151: 913-932 (2015) - [j29]Tahereh B. Gorji, Ahmad Mozaffari, Mofid Gorji-Bandpy, Nasser Fatouraee:
Estimating the deposition efficiency of micro-particles in human upper airway using computerized tomography imaging and bio-inspired evolvable extreme learning machine interpolator. J. Comput. Methods Sci. Eng. 15(3): 339-358 (2015) - [j28]Ahmad Mozaffari, Alireza Fathi:
An experimentally derived hybrid intelligent tool for analysing and optimising the clad height and melt-pool depth in laser solid freeform fabrication process. J. Exp. Theor. Artif. Intell. 27(2): 227-251 (2015) - [j27]Ahmad Mozaffari, Nasser L. Azad:
Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission. J. Exp. Theor. Artif. Intell. 27(3): 253-272 (2015) - [j26]Ahmad Mozaffari, Mahdi Emami, Nasser L. Azad, Alireza Fathi:
On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis. J. Exp. Theor. Artif. Intell. 27(4): 389-422 (2015) - 2014
- [j25]Ahmad Mozaffari, Saeed Behzadipour, Mehdi Kohani:
Identifying the tool-tissue force in robotic laparoscopic surgery using neuro-evolutionary fuzzy systems and a synchronous self-learning hyper level supervisor. Appl. Soft Comput. 14: 12-30 (2014) - [j24]Alireza Fathi, Ahmad Mozaffari:
Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature. Appl. Soft Comput. 14: 229-251 (2014) - [j23]Ahmad Mozaffari, Mehrzad Ebrahimnejad:
The Great Salmon Run Metaheuristic for Robust Shape and Size Design of Truss Structures with Dynamic Constraints. Int. J. Appl. Metaheuristic Comput. 5(2): 54-79 (2014) - [j22]Ahmad Mozaffari, Moein Mohammadpour, Alireza Fathi, Mofid Gorji-Bandpy:
A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System. Int. J. Appl. Metaheuristic Comput. 5(3): 9-22 (2014) - [j21]Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad:
Component sizing of a plug-in hybrid electric vehicle powertrain, Part B: coupling bee-inspired metaheuristics to ensemble of local neuro-fuzzy radial basis identifiers. Int. J. Bio Inspired Comput. 6(5): 303-321 (2014) - [j20]Alireza Fathi, Ahmad Mozaffari:
TGSR: the great salmon run optimisation algorithm. Int. J. Comput. Appl. Technol. 49(3/4): 192-206 (2014) - [j19]Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour:
An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems. Int. J. Intell. Comput. Cybern. 7(1): 38-78 (2014) - [j18]Ahmad Mozaffari, Nasser Lashgarian Azad, Alireza Fathi:
Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems. Int. J. Intell. Comput. Cybern. 7(4): 346-381 (2014) - [j17]Ahmad Mozaffari, Nasser L. Azad:
Coupling a chaotically encoded firefly algorithm with ranking to a physics-based mathematical model for robust optimisation of a gas turbine energy system. Int. J. Math. Model. Numer. Optimisation 5(4): 295-317 (2014) - [j16]Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad:
Implementation of a fast non-dominated sorting firefly algorithm and a vehicle simulation model for multi-objective component sizing of a power-split PHEV powertrain: a comparative numerical study. Int. J. Math. Model. Numer. Optimisation 5(4): 318-341 (2014) - [j15]Ahmad Mozaffari, Nasser L. Azad:
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. Neurocomputing 131: 143-156 (2014) - [j14]Alireza Fathi, Ahmad Mozaffari:
Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map. J. Intell. Manuf. 25(4): 775-795 (2014) - [j13]Ahmad Mozaffari, Mohammadreza Azimi, Mofid Gorji-Bandpy:
Ensemble mutable smart bee algorithm and a robust neural identifier for optimal design of a large scale power system. J. Comput. Sci. 5(2): 206-223 (2014) - 2013
- [j12]Ahmad Mozaffari, Alireza Fathi, Amir Khajepour, Ehsan Toyserkani:
Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms. Appl. Soft Comput. 13(3): 1505-1519 (2013) - [j11]Pendar Samadian, Ahmad Mozaffari, Ali M. Goudarzi, Alireza Rezania Kolaei, Lasse Rosendahl:
Optimal Arrangement of Thermoelectric Modules for Recovering the Waste Heat of Damavand Power Plant using Mutable Smart Bee and Neuro-Fuzzy System. Int. J. Appl. Metaheuristic Comput. 4(4): 46-62 (2013) - [j10]Ahmad Mozaffari, Ali M. Goudarzi, Alireza Fathi, Pendar Samadian:
Bio-inspired methods for fast and robust arrangement of thermoelectric modulus. Int. J. Bio Inspired Comput. 5(1): 19-34 (2013) - [j9]Ahmad Mozaffari, Maryyeh Chehresaz, Nasser L. Azad:
Component sizing of a plug-in hybrid electric vehicle powertrain, Part A: coupling bio-inspired techniques to meshless variable-fidelity surrogate models. Int. J. Bio Inspired Comput. 5(6): 350-383 (2013) - [j8]Alireza Fathi, Ahmad Mozaffari:
Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm. Int. J. Intell. Comput. Cybern. 6(4): 328-357 (2013) - [j7]Ahmad Mozaffari, Mofid Gorji-Bandpy, Pendar Samadian, Rouzbeh Rastgar, Alireza Rezania Kolaei:
Comprehensive preference optimization of an irreversible thermal engine using pareto based mutable smart bee algorithm and generalized regression neural network. Swarm Evol. Comput. 9: 90-103 (2013) - [j6]Ahmad Mozaffari, Abas Ramiar, Alireza Fathi:
Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm. Swarm Evol. Comput. 12: 74-91 (2013) - [i2]Ahmad Mozaffari, Alireza Fathi:
A natural-inspired optimization machine based on the annual migration of salmons in nature. CoRR abs/1312.4078 (2013) - [i1]Ahmad Mozaffari, Alireza Fathi:
An introduction to synchronous self-learning Pareto strategy. CoRR abs/1312.4132 (2013) - 2012
- [j5]Mofid Gorji-Bandpy, Ahmad Mozaffari:
Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm. Appl. Comput. Intell. Soft Comput. 2012: 652391:1-652391:13 (2012) - [j4]Ahmad Mozaffari, Mofid Gorji-Bandpy, Tahereh B. Gorji:
Optimal design of constraint engineering systems: application of mutable smart bee algorithm. Int. J. Bio Inspired Comput. 4(3): 167-180 (2012) - [j3]Ahmad Mozaffari, Alireza Fathi, Saeed Behzadipour:
The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation. Int. J. Bio Inspired Comput. 4(5): 286-301 (2012) - [j2]Ahmad Mozaffari, Alireza Fathi:
Identifying the behaviour of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimisation algorithm. Int. J. Bio Inspired Comput. 4(5): 330-343 (2012) - [j1]Mofid Gorji-Bandpy, Ahmad Mozaffari, Sina Mohammadrezaei Noudeh:
Optimising maximum power output and minimum entropy generation of Atkinson cycle using mutable smart bees algorithm. Int. J. Comput. Sci. Eng. 7(2): 108-120 (2012)
Coauthor Index
aka: Nasser Lashgarian Azad
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