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ORCIDNantiwat Pholdee
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2020 – today
- 2024
[j32]Yodsadej Kanokmedhakul, Sujin Bureerat
, Natee Panagant, Thana Radpukdee, Nantiwat Pholdee, Ali Riza Yildiz:
Metaheuristic-assisted complex H-infinity flight control tuning for the Hawkeye unmanned aerial vehicle: A comparative study. Expert Syst. Appl. 248: 123428 (2024)- 2023
- [j31]Pakin Champasak, Natee Panagant, Nantiwat Pholdee, Sujin Bureerat, Parvathy Rajendran, Ali Riza Yildiz:
Grid-based many-objective optimiser for aircraft conceptual design with multiple aircraft configurations. Eng. Appl. Artif. Intell. 126: 106951 (2023) - [j30]Sumit Kumar, Natee Panagant, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat, Nikunj Mashru, Pinank Patel:
A two-archive multi-objective multi-verse optimizer for truss design. Knowl. Based Syst. 270: 110529 (2023) - [j29]Betül Sultan Yildiz, Sumit Kumar, Natee Panagant, Pranav Mehta, Sadiq M. Sait, Ali Riza Yildiz, Nantiwat Pholdee, Sujin Bureerat, Seyedali Mirjalili:
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems. Knowl. Based Syst. 271: 110554 (2023) - [j28]Felix Biertümpfel, Nantiwat Pholdee, Samir Bennani, Harald Pfifer:
Finite Horizon Worst Case Analysis of Linear Time-Varying Systems Applied to Launch Vehicle. IEEE Trans. Control. Syst. Technol. 31(6): 2393-2404 (2023) - 2022
- [j27]Betül Sultan Yildiz, Sumit Kumar, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz:
A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems. Expert Syst. J. Knowl. Eng. 39(8) (2022) - [j26]Kittinan Wansasueb, Nantiwat Pholdee, Natee Panagant, Sujin Bureerat:
Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing. Eng. Comput. 38(1): 695-713 (2022) - [j25]Betül Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait:
Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems. Eng. Comput. 38(5): 4207-4219 (2022) - [j24]Kriengkrai Nabudda, Jarupol Suriyawanakul, Kiatfa Tangchaichit, Nantiwat Pholdee, Weerachai Kosuwon, Taweechok Wisanuyotin, Kamolsak Sukhonthamarn:
Identification of Flexural Modulus and Poisson's Ratio of Fresh Femoral Bone Based on a Finite Element Model. Int. J. Online Biomed. Eng. 18(4) (2022) - [j23]Kittinan Wansasueb, Sorasak Panmanee, Natee Panagant, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz:
Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design. Knowl. Based Syst. 239: 107955 (2022) - [j22]Siwakorn Anosri, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee:
Success history based adaptive multi-objective differential evolution variants with an interval scheme for solving simultaneous topology, shape and sizing truss reliability optimisation. Knowl. Based Syst. 253: 109533 (2022) - [j21]Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat:
Performance enhancement of meta-heuristics through random mutation and simulated annealing-based selection for concurrent topology and sizing optimization of truss structures. Soft Comput. 26(12): 5661-5683 (2022) - 2021
- [j20]Felix Biertümpfel, Nantiwat Pholdee, Sujin Bureerat, Harald Pfifer:
Adaptive boundary sine cosine optimizer with population reduction for robustness analysis of finite time horizon systems. Appl. Soft Comput. 113(Part): 107900 (2021) - [j19]Yodsadej Kanokmedhakul, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, Ali Riza Yildiz:
Aircraft Control Parameter Estimation Using Self-Adaptive Teaching-Learning-Based Optimization with an Acceptance Probability. Comput. Intell. Neurosci. 2021: 4740995:1-4740995:12 (2021) - [j18]Betül Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait:
Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm. Expert Syst. J. Knowl. Eng. 38(3) (2021) - [j17]Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat:
Multi-Objective Passing Vehicle Search algorithm for structure optimization. Expert Syst. Appl. 169: 114511 (2021) - [j16]Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat:
Multi-objective modified heat transfer search for truss optimization. Eng. Comput. 37(4): 3439-3454 (2021) - [j15]Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat, Pranav Mehta:
Hybrid Heat Transfer Search and Passing Vehicle Search optimizer for multi-objective structural optimization. Knowl. Based Syst. 212: 106556 (2021) - [j14]Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat:
Multiobjecitve structural optimization using improved heat transfer search. Knowl. Based Syst. 219: 106811 (2021) - [j13]Sujin Bureerat, Nantiwat Pholdee:
A simple numerical scheme for generation of weighting factors for multiobjective optimisation. Soft Comput. 25(2): 1631-1646 (2021) - [i1]Felix Biertümpfel, Nantiwat Pholdee, Samir Bennani, Harald Pfifer:
Finite Horizon Worst-Case Analysis of Linear Time-Varying Systems Applied to Launch Vehicle. CoRR abs/2111.12748 (2021) - 2020
- [j12]Wonsiri Punurai, Md Samdani Azad, Nantiwat Pholdee, Sujin Bureerat, Chana Sinsabvarodom:
A novel hybridized metaheuristic technique in enhancing the diagnosis of cross-sectional dent damaged offshore platform members. Comput. Intell. 36(1): 132-150 (2020)
2010 – 2019
- 2019
- [j11]Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat, Doddy Prayogo, Amir H. Gandomi:
Structural optimization using multi-objective modified adaptive symbiotic organisms search. Expert Syst. Appl. 125: 425-441 (2019) - [j10]Sujin Bureerat, Nantiwat Pholdee, Thana Radpukdee, Papot Jaroenapibal:
Self-adaptive MRPBIL-DE for 6D robot multiobjective trajectory planning. Expert Syst. Appl. 136: 133-144 (2019) - [j9]Teerapol Techasen, Kittinan Wansasueb, Natee Panagant, Nantiwat Pholdee, Sujin Bureerat:
Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms. Eng. Comput. 35(2): 721-740 (2019) - 2018
- [j8]Sujin Bureerat, Nantiwat Pholdee:
Inverse problem based differential evolution for efficient structural health monitoring of trusses. Appl. Soft Comput. 66: 462-472 (2018) - [j7]Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat, Doddy Prayogo:
Multiobjective adaptive symbiotic organisms search for truss optimization problems. Knowl. Based Syst. 161: 398-414 (2018) - [c4]Nantiwat Pholdee, Sujin Bureerat:
Multiobjective Trajectory Planning of a 6D Robot based on Multiobjective Meta Heuristic Search. ICNCC 2018: 352-356 - 2017
- [j6]Kasem Nuaekaew, Pramin Artrit, Nantiwat Pholdee, Sujin Bureerat:
Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer. Expert Syst. Appl. 87: 79-89 (2017) - [c3]Sujin Bureerat, Nantiwat Pholdee:
Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection. ICCSA (1) 2017: 71-86 - [c2]Nantiwat Pholdee, Sujin Bureerat, Papot Jaroenapibal, Thana Radpukdee:
Many-Objective Optimisation of Trusses Through Meta-Heuristics. ISNN (1) 2017: 143-152 - 2016
- [j5]Nantiwat Pholdee, Sujin Bureerat:
Hybrid real-code ant colony optimisation for constrained mechanical design. Int. J. Syst. Sci. 47(2): 474-491 (2016) - [j4]Sujin Bureerat, Nantiwat Pholdee:
Optimal Truss Sizing Using an Adaptive Differential Evolution Algorithm. J. Comput. Civ. Eng. 30(2) (2016) - [c1]Sujin Bureerat, Nantiwat Pholdee, Won-Woong Park, Dong-Kyu Kim:
An Improved Teaching-Learning Based Optimization for Optimization of Flatness of a Strip During a Coiling Process. MIWAI 2016: 12-23 - 2015
- [j3]Nantiwat Pholdee, Sujin Bureerat:
An efficient optimum Latin hypercube sampling technique based on sequencing optimisation using simulated annealing. Int. J. Syst. Sci. 46(10): 1780-1789 (2015) - 2014
- [j2]Nantiwat Pholdee, Sujin Bureerat:
Comparative performance of meta-heuristic algorithms for mass minimisation of trusses with dynamic constraints. Adv. Eng. Softw. 75: 1-13 (2014) - 2013
- [j1]Nantiwat Pholdee, Sujin Bureerat:
Hybridisation of real-code population-based incremental learning and differential evolution for multiobjective design of trusses. Inf. Sci. 223: 136-152 (2013)
Coauthor Index
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