nantiwat pholdee
nantiwat pholdee
Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University
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Hybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frame
N Pholdee, S Bureerat, AR Yıldız
International Journal of Vehicle Design 73 (1-3), 20-53, 2017
Comparative performance of meta-heuristic algorithms for mass minimisation of trusses with dynamic constraints
N Pholdee, S Bureerat
Advances in Engineering Software 75, 1-13, 2014
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
AR Yıldız, BS Yıldız, SM Sait, S Bureerat, N Pholdee
Materials Testing 61 (8), 735-743, 2019
Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer
K Nuaekaew, P Artrit, N Pholdee, S Bureerat
Expert Systems with Applications 87, 79-89, 2017
Structural optimization using multi-objective modified adaptive symbiotic organisms search
GG Tejani, N Pholdee, S Bureerat, D Prayogo, AH Gandomi
Expert Systems with Applications 125, 425-441, 2019
Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle
P Champasak, N Panagant, N Pholdee, S Bureerat, AR Yildiz
Aerospace Science and Technology 100, 105783, 2020
Multiobjective adaptive symbiotic organisms search for truss optimization problems
GG Tejani, N Pholdee, S Bureerat, D Prayogo
Knowledge-based systems 161, 398-414, 2018
The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
BS Yıldız, AR Yıldız, N Pholdee, S Bureerat, SM Sait, V Patel
Materials Testing 62 (3), 261-264, 2020
Optimal truss sizing using an adaptive differential evolution algorithm
S Bureerat, N Pholdee
Journal of Computing in Civil Engineering 30 (2), 04015019, 2016
Seagull optimization algorithm for solving real-world design optimization problems
N Panagant, N Pholdee, S Bureerat, K Kaen, AR Yıldız, SM Sait
Materials Testing 62 (6), 640-644, 2020
Hybridisation of real-code population-based incremental learning and differential evolution for multiobjective design of trusses
N Pholdee, S Bureerat
Information Sciences 223, 136-152, 2013
Sine-cosine optimization algorithm for the conceptual design of automobile components
ABS Yıldız, N Pholdee, S Bureerat, AR Yıldız, SM Sait
Materials Testing 62 (7), 744-748, 2020
An efficient optimum Latin hypercube sampling technique based on sequencing optimisation using simulated annealing
N Pholdee, S Bureerat
International Journal of Systems Science 46 (10), 1780-1789, 2015
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm
BS Yildiz, N Pholdee, S Bureerat, AR Yildiz, SM Sait
Expert Systems 38 (3), e12666, 2021
Multi-objective modified heat transfer search for truss optimization
S Kumar, GG Tejani, N Pholdee, S Bureerat
Engineering with Computers 37 (4), 3439-3454, 2021
Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems
BS Yildiz, N Pholdee, S Bureerat, AR Yildiz, SM Sait
Engineering with Computers, 1-13, 2021
Multi-surrogate-assisted metaheuristics for crashworthiness optimisation
CM Aye, N Pholdee, AR Yildiz, S Bureerat, SM Sait
International journal of vehicle design 80 (2-4), 223-240, 2019
Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design
BS Yıldız, V Patel, N Pholdee, SM Sait, S Bureerat, AR Yıldız
Materials Testing 63 (4), 336-340, 2021
Adaptive sine cosine algorithm integrated with differential evolution for structural damage detection
S Bureerat, N Pholdee
International Conference on Computational Science and Its Applications, 71-86, 2017
Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the Levy flight algorithm for design optimization in industry
BS Yıldız, N Pholdee, S Bureerat, MU Erdaş, AR Yıldız, SM Sait
Materials Testing 63 (4), 356-359, 2021
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