A. Mozaffari

发表

Predicting the hardness of carbon nanotube reinforced copper matrix nanocomposites using two adaptive fuzzy inference system identifiers

A. Fathi, A. Sahraei, A. Mozaffari, 2015 .

Heat transfer optimization of two phase modeling of nanofluid in a sinusoidal wavy channel using Artificial Bee Colony technique

Ahmad Mozaffari, Abas Ramiar, A. Mozaffari, 2015 .

Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations

N. Azad, A. Mozaffari, 2016, Artificial Intelligence Review.

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness

Shoja'eddin Chenouri, N. Azad, A. Mozaffari, 2016, Soft Computing.

Biologically inspired time-delay soft sensors for online monitoring of automotive coldstart operations: a comparative analysis

N. Azad, A. Mozaffari, 2015, Meccanica.

Identification of a dynamic model for shape memory alloy actuator using Hammerstein-Wiener gray box and mutable smart bee algorithm

Ahmad Mozaffari, Alireza Fathi, A. Fathi, 2013, Int. J. Intell. Comput. Cybern..

Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm

Ahmad Mozaffari, Alireza Fathi, Abas Ramiar, 2013, Swarm Evol. Comput..

An experimentally derived hybrid intelligent tool for analysing and optimising the clad height and melt-pool depth in laser solid freeform fabrication process

Ahmad Mozaffari, Alireza Fathi, A. Fathi, 2015, J. Exp. Theor. Artif. Intell..

Biologically inspired time-delay soft sensors for online monitoring of automotive coldstart operations: a comparative analysis

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2016 .

Application of self-learning evolutionary algorithm for optimal design of a porous polymethylmethacrylate scaffold fabricated by laser drilling process

Ahmad Mozaffari, Alireza Fathi, Sayed Mahmood Rabiee, 2013 .

Statistical Learning and Stochastic Process for Robust Predictive Control of Vehicle Suspension Systems

Ahmad Mozaffari, A. Mozaffari, 2017 .

A Modified SSLPS Algorithm with Logistic Pseudo-Random Sequence Generator for Improving the Performance of Neka Power Plant: A Comparative/Conceptual Analysis

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2015, Int. J. Appl. Evol. Comput..

Coupling a chaotically encoded firefly algorithm with ranking to a physics-based mathematical model for robust optimisation of a gas turbine energy system

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2014, Int. J. Math. Model. Numer. Optimisation.

Ensemble mutable smart bee algorithm and a robust neural identifier for optimal design of a large scale power system

Ahmad Mozaffari, Mofid Gorji-Bandpy, Mohammadreza Azimi, 2014, J. Comput. Sci..

Intelligent design of waste heat recovery systems using thermoelectric generators and optimization tools

Ahmad Mozaffari, Lasse Rosendahl, A. M. Goudarzi, 2014 .

Optimal Arrangement of Thermoelectric Modules for Recovering the Waste Heat of Damavand Power Plant using Mutable Smart Bee and Neuro-Fuzzy System

Ahmad Mozaffari, Lasse Rosendahl, Pendar Samadian, 2013, Int. J. Appl. Metaheuristic Comput..

Comprehensive preference optimization of an irreversible thermal engine using pareto based mutable smart bee algorithm and generalized regression neural network

Ahmad Mozaffari, Mofid Gorji-Bandpy, Pendar Samadian, 2013, Swarm Evol. Comput..

Analyzing, controlling, and optimizing Damavand power plant operating parameters using a synchronous parallel shuffling self-organized Pareto strategy and neural network: a survey

Ahmad Mozaffari, Mofid Gorji-Bandpy, Pendar Samadian, 2012 .

Deriving to an Optimum Policy for Designing the Operating Parameters of Mahshahr Gas Turbine Power Plant Using a Self Learning Pareto Strategy

Ahmad Mozaffari, Mofid Gorji-Bandpy, Tahere B. Gorji, 2012 .

A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction

Nasser L. Azad, Ahmad Mozaffari, J. Karl Hedrick, 2016, Neurocomputing.

Bio-inspired methods for fast and robust arrangement of thermoelectric modulus

Ahmad Mozaffari, Alireza Fathi, Pendar Samadian, 2013, Int. J. Bio Inspired Comput..

Optimising maximum power output and minimum entropy generation of Atkinson cycle using mutable smart bees algorithm

Ahmad Mozaffari, Mofid Gorji-Bandpy, Sina Mohammadrezaei Noudeh, 2012, Int. J. Comput. Sci. Eng..

Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm

Ahmad Mozaffari, Mofid Gorji-Bandpy, A. Mozaffari, 2012, Appl. Comput. Intell. Soft Comput..

Fabrication of a resonant PEMC sensor using hybrid $$\upvarepsilon $$ε-constraint lexicographical ranking DE-MSBA with Jacobean approximation

S. Mohammadrezaei Nodeh, A. Mozaffari, M. Ghaneh, 2018, Memetic Comput..

Fabrication of a resonant PEMC sensor using hybrid ε -constraint lexicographical ranking DE-MSBA with Jacobean approximation

A. Mozaffari, S. M. Nodeh, M. Ghaneh, 2017 .

International Journal of Intelligent Computing and Cybernetics Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2015 .

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

Ahmad Mozaffari, Alireza Fathi, A. Fathi, 2014, Appl. Soft Comput..

Learning-based vehicle suspension controller design: A review of the state-of-the-art and future research potentials

Amir Khajepour, Yechen Qin, Ahmad Mozaffari, 2019, eTransportation.

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2017, Int. J. Mach. Learn. Cybern..

Preferred design of recurrent neural network architecture using a multiobjective evolutionary algorithm with un-supervised information recruitment: a paradigm for modeling shape memory alloy actuators

Alireza Fathi, Ahmad Mozaffari, Nasser Lashgarian Azad, 2014 .

A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints

Alireza Fathi, Ahmad Mozaffari, Mahdi Emami, 2019, Artificial Intelligence Review.

An empirical investigation into the effects of chaos on different types of evolutionary crossover operators for efficient global search in complicated landscapes

Nasser L. Azad, Ahmad Mozaffari, Behrooz Rezaie, 2016, Int. J. Comput. Math..

Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2017, Int. J. Bio Inspired Comput..

A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery

Saeed Behzadipour, Ahmad Mozaffari, S. Behzadipour, 2015, Neurocomputing.

Chaos oscillator differential search combined with Pontryagin’s minimum principle for simultaneous power management and component sizing of PHEVs

N. Azad, A. Mozaffari, M. Vajedi, 2016, Optimization and Engineering.

Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2016, Int. J. Comput. Appl. Technol..

Optimal design of constraint engineering systems: application of mutable smart bee algorithm

Ahmad Mozaffari, Mofid Gorji-Bandpy, Tahereh B. Gorji, 2012, Int. J. Bio Inspired Comput..

A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints

A. Fathi, A. Mozaffari, Mahdi Emami, 2018, Artificial Intelligence Review.

State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles under Dynamic Load Conditions

A. Khajepour, A. Tonoli, A. Mozaffari, 2022, Energies.

Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map

Ahmad Mozaffari, Alireza Fathi, A. Fathi, 2014, J. Intell. Manuf..

A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System

Ahmad Mozaffari, Alireza Fathi, Mofid Gorji-Bandpy, 2014, Int. J. Appl. Metaheuristic Comput..

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

Saeed Behzadipour, Ahmad Mozaffari, Alireza Fathi, 2014, Int. J. Intell. Comput. Cybern..

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

Nasser L. Azad, Ahmad Mozaffari, Mahyar Vajedi, 2015, Neurocomputing.

A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness

Nasser L. Azad, Ahmad Mozaffari, Shoja'eddin Chenouri, 2016, Applied Intelligence.

Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads

Nasser L. Azad, Ahmad Mozaffari, Ladan Mozaffari, 2015 .

Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms

Amir Khajepour, Ahmad Mozaffari, Alireza Fathi, 2013, Appl. Soft Comput..

The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation

Saeed Behzadipour, Ahmad Mozaffari, Alireza Fathi, 2012, Int. J. Bio Inspired Comput..

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

Ahmad Mozaffari, Mahyar Vajedi, Nasser L. Azad, 2015 .

Battery Thermal Management of Electric Vehicles: An Optimal Control Approach

Nasser L. Azad, Ahmad Mozaffari, Yasaman Masoudi, 2015 .

On the efficacy of chaos-enhanced heuristic walks with nature-based controllers for robust and accurate intelligent search, part A: an experimental analysis

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2015, J. Exp. Theor. Artif. Intell..

Identifying the behaviour of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimisation algorithm

Ahmad Mozaffari, Alireza Fathi, A. Fathi, 2012, Int. J. Bio Inspired Comput..

Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

N. Azad, A. Mozaffari, Alireza Fathi, 2014, Int. J. Intell. Comput. Cybern..

Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2014, Neurocomputing.

Comparisons of several variants of continuous quantum-inspired evolutionary algorithms

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2017, J. Exp. Theor. Artif. Intell..

Robust multivariate change point analysis based on data depth

Shoja'eddin Chenouri, A. Mozaffari, Gregory Rice, 2020, Canadian Journal of Statistics.

Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian process regression machine

N. Azad, A. Mozaffari, 2015, Frontiers of Mechanical Engineering.

Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

Nasser L. Azad, Ahmad Mozaffari, Alireza Fathi, 2015, Int. J. Intell. Comput. Cybern..

Gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control

J. Hedrick, N. Azad, A. Mozaffari, 2017, International Journal of Automotive Technology.

Gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control

Nasser L. Azad, Ahmad Mozaffari, J. K. Hedrick, 2017 .

A Receding Horizon Sliding Controller for Automotive Engine Coldstart: Design and Hardware‐in‐the‐Loop Testing With an Echo State Network High‐Fidelity Model

Nasser L. Azad, Ahmad Mozaffari, Andreas Hansen, 2016 .

A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions

Nasser L. Azad, Ahmad Mozaffari, J. Karl Hedrick, 2016, Eng. Appl. Artif. Intell..

A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2015, Int. J. Comput. Intell. Appl..

An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

N. Azad, A. Fathi, A. Mozaffari, 2015, International Journal of Machine Learning and Cybernetics.

Predictive Control Strategies for Automotive Engine Coldstart Emissions

Ahmad Mozaffari, A. Mozaffari, 2015 .

A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness

Nasser L. Azad, Ahmad Mozaffari, Shoja'eddin Chenouri, 2016, Soft Computing.

Heat transfer analysis of unsteady graphene oxide nanofluid flow using a fuzzy identifier evolved by genetically encoded mutable smart bee algorithm

Ahmad Mozaffari, Mohammadreza Azimi, A. Mozaffari, 2015 .

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

Nasser L. Azad, Ahmad Mozaffari, N. Azad, 2015, Appl. Soft Comput..