Ahmad Mozaffari
According to our database1,
Ahmad Mozaffari
authored at least 56 papers
between 2012 and 2019.
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Bibliography
2019
A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints.
Artif. Intell. Rev., 2019
2018
Fabrication of a resonant PEMC sensor using hybrid $$\upvarepsilon $$ ε -constraint lexicographical ranking DE-MSBA with Jacobean approximation.
Memetic Comput., 2018
Synchronous self-learning Pareto strategy: An ensemble framework for vector and multi-criterion optimization.
Int. J. Intell. Comput. Cybern., 2018
2017
A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness.
Soft Comput., 2017
An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions.
Int. J. Mach. Learn. Cybern., 2017
Comparisons of several variants of continuous quantum-inspired evolutionary algorithms.
J. Exp. Theor. Artif. Intell., 2017
Empirical investigation and analysis of the computational potentials of bio-inspired nonlinear model predictive controllers: success and challenges.
Int. J. Bio Inspired Comput., 2017
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness.
Appl. Intell., 2017
2016
A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction.
IEEE Trans. Veh. Technol., 2016
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., 2016
A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction.
Neurocomputing, 2016
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., 2016
Investigation of hydroxyapatite dicalcium phosphate scaffold properties using a Lamarckian immune neural network.
Int. J. Comput. Appl. Technol., 2016
Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling.
Int. J. Comput. Appl. Technol., 2016
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., 2016
Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations.
Artif. Intell. Rev., 2016
Automotive coldstart emissions reduction using MIMO sliding mode control with actuator saturation.
Proceedings of the 2016 American Control Conference, 2016
2015
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., 2015
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., 2015
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., 2015
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., 2015
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, 2015
A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery.
Neurocomputing, 2015
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., 2015
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., 2015
Int. J. Comput. Sci. Eng., 2015
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., 2015
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., 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.
Appl. Soft Comput., 2015
2014
Ensemble mutable smart bee algorithm and a robust neural identifier for optimal design of a large scale power system.
J. Comput. Sci., 2014
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., 2014
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification.
Neurocomputing, 2014
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, 2014
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, 2014
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., 2014
Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems.
Int. J. Intell. Comput. Cybern., 2014
Int. J. Comput. Appl. Technol., 2014
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., 2014
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., 2014
The Great Salmon Run Metaheuristic for Robust Shape and Size Design of Truss Structures with Dynamic Constraints.
Int. J. Appl. Metaheuristic Comput., 2014
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., 2014
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., 2014
2013
Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm.
Swarm Evol. Comput., 2013
Comprehensive preference optimization of an irreversible thermal engine using pareto based mutable smart bee algorithm and generalized regression neural network.
Swarm Evol. Comput., 2013
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., 2013
Int. J. Bio Inspired Comput., 2013
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., 2013
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., 2013
A natural-inspired optimization machine based on the annual migration of salmons in nature.
CoRR, 2013
Optimal design of laser solid freeform fabrication system and real-time prediction of melt pool geometry using intelligent evolutionary algorithms.
Appl. Soft Comput., 2013
2012
Optimising maximum power output and minimum entropy generation of Atkinson cycle using mutable smart bees algorithm.
Int. J. Comput. Sci. Eng., 2012
Optimal design of constraint engineering systems: application of mutable smart bee algorithm.
Int. J. Bio Inspired Comput., 2012
The great salmon run: a novel bio-inspired algorithm for artificial system design and optimisation.
Int. J. Bio Inspired Comput., 2012
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., 2012
Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm.
Appl. Comput. Intell. Soft Comput., 2012