Ahmad Mozaffari

According to our database1, Ahmad Mozaffari authored at least 55 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

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
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

Vector mutable smart bee algorithm for engineering optimisation.
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

TGSR: the great salmon run optimisation algorithm.
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

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

An introduction to synchronous self-learning Pareto strategy.
CoRR, 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


  Loading...