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Pranav Mehta
Pranav Mehta
Assistant Professor, Department of Mechanical Engineering, Dharmsinh Desai University
ddu.ac.in의 이메일 확인됨
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Chaotic marine predators algorithm for global optimization of real-world engineering problems
S Kumar, BS Yildiz, P Mehta, N Panagant, SM Sait, S Mirjalili, AR Yildiz
Knowledge-Based Systems 261, 110192, 2023
1002023
Design and performance analysis of a mixed mode tent-type solar dryer for fish-drying in coastal areas
P Mehta, S Samaddar, P Patel, B Markam, S Maiti
Solar Energy 170, 671-681, 2018
932018
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
BS Yıldız, S Kumar, N Panagant, P Mehta, SM Sait, AR Yildiz, N Pholdee, ...
Knowledge-Based Systems 271, 110554, 2023
712023
Hunger games search algorithm for global optimization of engineering design problems
P Mehta, BS Yildiz, SM Sait, AR Yildiz
Materials Testing 64 (4), 524-532, 2022
672022
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization
S Kumar, GG Tejani, N Pholdee, S Bureerat, P Mehta
Knowledge-Based Systems 212, 106556, 2021
632021
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
BS Yıldız, P Mehta, N Panagant, S Mirjalili, AR Yildiz
Journal of Computational Design and Engineering 9 (6), 2452-2465, 2022
592022
African vultures optimization algorithm for optimization of shell and tube heat exchangers
D Gürses, P Mehta, SM Sait, AR Yildiz
Materials Testing 64 (8), 1234-1241, 2022
542022
A new hybrid artificial hummingbird-simulated annealing algorithm to solve constrained mechanical engineering problems
BS Yildiz, P Mehta, SM Sait, N Panagant, S Kumar, AR Yildiz
Materials Testing 64 (7), 1043-1050, 2022
532022
Cheetah optimization algorithm for optimum design of heat exchangers
SM Sait, P Mehta, D Gürses, AR Yildiz
Materials Testing 65 (8), 1230-1236, 2023
482023
A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers
D Gürses, P Mehta, SM Sait, S Kumar, AR Yildiz
Materials Testing 65 (9), 1396-1404, 2023
472023
A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems
P Mehta, SM Sait, BS Yıldız, MU Erdaş, M Kopar, AR Yıldız
Materials Testing 66 (4), 544-552, 2024
412024
A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems
BS Yildiz, N Pholdee, P Mehta, SM Sait, S Kumar, S Bureerat, AR Yildiz
Materials Testing 65 (1), 134-143, 2023
402023
Numerical analysis of multiphase flow in chemical looping reforming process for hydrogen production and CO2 capture
A Chavda, P Mehta, A Harichandan
Experimental and Computational Multiphase Flow 4 (4), 360-376, 2022
402022
A novel generalized normal distribution optimizer with elite oppositional based learning for optimization of mechanical engineering problems
P Mehta, B Sultan Yıldız, N Pholdee, S Kumar, A Riza Yildiz, SM Sait, ...
Materials Testing 65 (2), 210-223, 2023
352023
Artificial gorilla troops algorithm for the optimization of a fine plate heat exchanger
D Gürses, P Mehta, V Patel, SM Sait, AR Yildiz
Materials Testing 64 (9), 1325-1331, 2022
352022
Gradient-based optimizer for economic optimization of engineering problems
P Mehta, BS Yıldız, SM Sait, AR Yıldız
Materials Testing 64 (5), 690-696, 2022
342022
Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
SM Sait, P Mehta, AR Yıldız, BS Yıldız
Materials Testing 66 (9), 1439-1448, 2024
332024
Manta ray foraging optimization algorithm and hybrid Taguchi salp swarm-Nelder–Mead algorithm for the structural design of engineering components
AR Yildiz, P Mehta
Materials Testing 64 (5), 706-713, 2022
302022
Optimization of truss structures using multi-objective cheetah optimizer
S Kumar, GG Tejani, P Mehta, SM Sait, AR Yildiz, S Mirjalili
Mechanics based design of structures and machines 53 (2), 1494-1515, 2025
232025
A novel hybrid Fick’s law algorithm-quasi oppositional–based learning algorithm for solving constrained mechanical design problems
P Mehta, BS Yildiz, SM Sait, AR Yildiz
Materials Testing 65 (12), 1817-1825, 2023
232023
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