Akhil Garg
Orcid: 0000-0001-5731-4105Affiliations:
- Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China
- Shantou University, Department of Mechatronics Engineering, China (former)
- Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore (PhD 2015)
According to our database1,
Akhil Garg
authored at least 40 papers
between 2013 and 2024.
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Collaborative distances:
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Bibliography
2024
2023
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
IEEE Trans. Intell. Transp. Syst., December, 2023
Surrogate-assisted multi-objective evolutionary optimization with a multi-offspring method and two infill criteria.
Swarm Evol. Comput., 2023
2022
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties.
Eng. Comput., 2022
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022
2021
Hybrid Strategy of Multiple Optimization Algorithms Applied to 3-D Terrain Node Coverage of Wireless Sensor Network.
Wirel. Commun. Mob. Comput., 2021
A New Approach to Solve Uncertain Multidisciplinary Design Optimization Based on Conditional Value at Risk.
IEEE Trans Autom. Sci. Eng., 2021
Two infill criteria driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems with medium dimensions.
Swarm Evol. Comput., 2021
A comparative study of pre-screening strategies within a surrogate-assisted multi-objective algorithm framework for computationally expensive problems.
Neural Comput. Appl., 2021
Proceedings of CECNet 2021, 2021
2020
Framework of model selection criteria approximated genetic programming for optimization function for renewable energy systems.
Swarm Evol. Comput., 2020
Multi-objective optimisation framework of genetic programming for investigation of bullwhip effect and net stock amplification for three-stage supply chain systems.
Int. J. Bio Inspired Comput., 2020
1, Springer, ISBN: 978-981-13-9381-5, 2020
2019
Swarm Evol. Comput., 2019
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder.
Sensors, 2019
Partial disassembly line balancing for energy consumption and profit under uncertainty.
Robotics Comput. Integr. Manuf., 2019
Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing.
J. Intell. Manuf., 2019
Crash analysis of lithium-ion batteries using finite element based neural search analytical models.
Eng. Comput., 2019
IEEE Access, 2019
2018
An evolutionary framework in modelling of multi-output characteristics of the bone drilling process.
Neural Comput. Appl., 2018
J. Intell. Manuf., 2018
Comput. Appl. Eng. Educ., 2018
2017
True stress measurement of nuclear fuel rod cladding material subjected to DSA regime.
Neural Comput. Appl., 2017
Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set.
Complex., 2017
A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon.
Appl. Soft Comput., 2017
Proceedings of the Soft Computing for Problem Solving, 2017
2015
A molecular simulation based computational intelligence study of a nano-machining process with implications on its environmental performance.
Swarm Evol. Comput., 2015
2014
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet.
Simul. Model. Pract. Theory, 2014
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material.
Simul. Model. Pract. Theory, 2014
A hybrid \(\text{ M}5^\prime \) -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process.
J. Intell. Manuf., 2014
Expert Syst. Appl., 2014
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes.
Eng. Appl. Artif. Intell., 2014
Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process.
Adv. Eng. Softw., 2014
An Improved Multi-Gene Genetic Programming Approach for the Evolution of Generalized Model in Modelling of Rapid Prototyping Process.
Proceedings of the Modern Advances in Applied Intelligence, 2014
2013
Comparison of statistical and machine learning methods in modelling of data with multicollinearity.
Int. J. Model. Identif. Control., 2013
Int. J. Model. Identif. Control., 2013
Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Empirical analysis of model selection criteria for genetic programming in modeling of time series system.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013
Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013