| 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 38 (5), 4207-4219, 2022 | 128 | 2022 |
| 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 | 128 | 2017 |
| 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 | 127 | 2017 |
| 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 | 126 | 2019 |
| 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 | 118 | 2014 |
| 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 | 100 | 2020 |
| 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 | 99 | 2020 |
| 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 | 99 | 2019 |
| 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 | 99 | 2019 |
| 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 | 97 | 2021 |
| 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 | 92 | 2021 |
| A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems BS Yıldız, N Pholdee, N Panagant, S Bureerat, AR Yildiz, SM Sait Engineering with Computers, 1-13, 2021 | 91 | 2021 |
| Multiobjective adaptive symbiotic organisms search for truss optimization problems GG Tejani, N Pholdee, S Bureerat, D Prayogo Knowledge-based systems 161, 398-414, 2018 | 91 | 2018 |
| 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 | 89 | 2021 |
| Sine-cosine optimization algorithm for the conceptual design of automobile components BS Yıldız, N Pholdee, S Bureerat, AR Yıldız, SM Sait Materials Testing 62 (7), 744-748, 2020 | 83 | 2020 |
| A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems N Panagant, N Pholdee, S Bureerat, AR Yildiz, S Mirjalili Archives of Computational Methods in Engineering, 1-17, 2021 | 82 | 2021 |
| 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 | 78 | 2020 |
| Optimal truss sizing using an adaptive differential evolution algorithm S Bureerat, N Pholdee Journal of Computing in Civil Engineering 30 (2), 04015019, 2016 | 72 | 2016 |
| 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 | 68 | 2013 |
| 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 | 65 | 2015 |
Sujin BureeratProfessor of Mechanical Engineering, Khon Kaen UniversityDirección de correo verificada de kku.ac.th
