| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Differential evolution algorithm for solving a nonlinear single pendulum problem | Panagant, N. Bureerat, S. |
2014 | ||||
| 2. | Solving partial differential equations using a new differential evolution algorithm | Panagant, N. Bureerat, S. |
2014 | ||||
| 3. | ADOSH: software with graphic user interface for analysis and design of truss structures | Panagant, N. Bureerat, S. |
2018 | ||||
| 4. | Development of frame finite element model for truss structures with semi-rigid connections | Panagant, N. Bureerat, S. |
2018 | ||||
| 5. | Multi-mutation scheme adaptive differential evolution for solving truss sizing optimization | Panagant, N. Bureerat, S. |
2018 | ||||
| 6. | Multiobjective Simultaneous Topology, Shape and Sizing Optimization of Trusses Using Evolutionary Optimizers | Panagant, N. Pholdee, N. Bureerat, S. |
2018 | ||||
| 7. | Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution | Panagant, N. Bureerat, S. |
2018 | ||||
| 8. | A novel self-adaptive hybrid multi-objective meta-heuristic for reliability design of trusses with simultaneous topology, shape and sizing optimisation design variables | Panagant, N. Bureerat, S. |
2019 | ||||
| 9. | Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms | Panagant, N. Pholdee, N. Bureerat, S. |
2019 | ||||
| 10. | Synthesis of four-bar linkage motion generation using optimization algorithms | Sleesongsom, S. Panagant, N. Bureerat, S. |
2019 | ||||
| 11. | Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing | Pholdee, N. Panagant, N. Bureerat, S. |
2020 | ||||
| 12. | Seagull optimization algorithm for solving real-world design optimization problems | Panagant, N. Pholdee, N. Bureerat, S. |
2020 | ||||
| 13. | Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle | Panagant, N. Pholdee, N. Bureerat, S. |
2020 | ||||
| 14. | Surrogate-Assisted Reliability Optimisation of an Aircraft Wing with Static and Dynamic Aeroelastic Constraints | Sleesongsom, S. Panagant, N. Pholdee, N. Bureerat, S. |
2020 | ||||
| 15. | A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 | ||||
| 16. | A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems | Pholdee, N. Panagant, N. Bureerat, S. |
2021 | ||||
| 17. | A novel hybrid marine predators-Nelder-Mead optimization algorithm for the optimal design of engineering problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 | ||||
| 18. | Comparative Performance of Twelve Metaheuristics for Wind Farm Layout Optimisation | Kunakote, T. Panagant, N. Pholdee, N. Bureerat, S. |
2021 | ||||
| 19. | Hybrid Taguchi-Lévy flight distribution optimization algorithm for solving real-world design optimization problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 | Count | 19 | 0 | 0 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | Total | ||||||
| 1. | Differential evolution algorithm for solving a nonlinear single pendulum problem | Panagant, N. Bureerat, S. |
2014 |
Advanced Materials Research (931-932), pp. 1129-1133 |
||||||||
| 2. | Solving partial differential equations using a new differential evolution algorithm | Panagant, N. Bureerat, S. |
2014 |
Mathematical Problems in Engineering (2014), pp. |
||||||||
| 3. | ADOSH: software with graphic user interface for analysis and design of truss structures | Panagant, N. Bureerat, S. |
2018 |
Asian Journal of Civil Engineering 3 (19), pp. 273-286 |
||||||||
| 4. | Development of frame finite element model for truss structures with semi-rigid connections | Panagant, N. Bureerat, S. |
2018 |
Engineering and Applied Science Research 3 (45), pp. 188-195 |
||||||||
| 5. | Multi-mutation scheme adaptive differential evolution for solving truss sizing optimization | Panagant, N. Bureerat, S. |
2018 |
Asia-Pacific Journal of Science and Technology 3 (23), pp. |
||||||||
| 6. | Multiobjective Simultaneous Topology, Shape and Sizing Optimization of Trusses Using Evolutionary Optimizers | Panagant, N. Pholdee, N. Bureerat, S. |
2018 |
IOP Conference Series: Materials Science and Engineering 1 (370), pp. |
||||||||
| 7. | Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution | Panagant, N. Bureerat, S. |
2018 |
Engineering Optimization 10 (50), pp. 1645-1661 |
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| 8. | A novel self-adaptive hybrid multi-objective meta-heuristic for reliability design of trusses with simultaneous topology, shape and sizing optimisation design variables | Panagant, N. Bureerat, S. |
2019 |
Structural and Multidisciplinary Optimization 5 (60), pp. 1937-1955 |
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| 9. | Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms | Panagant, N. Pholdee, N. Bureerat, S. |
2019 |
Engineering with Computers 2 (35), pp. 721-740 |
||||||||
| 10. | Synthesis of four-bar linkage motion generation using optimization algorithms | Sleesongsom, S. Panagant, N. Bureerat, S. |
2019 |
Advances in Computational Design 3 (4), pp. 197-210 |
||||||||
| 11. | Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing | Pholdee, N. Panagant, N. Bureerat, S. |
2020 |
Engineering with Computers (), pp. |
||||||||
| 12. | Seagull optimization algorithm for solving real-world design optimization problems | Panagant, N. Pholdee, N. Bureerat, S. |
2020 |
Materialpruefung/Materials Testing 6 (62), pp. 640-644 |
||||||||
| 13. | Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle | Panagant, N. Pholdee, N. Bureerat, S. |
2020 |
Aerospace Science and Technology (100), pp. |
||||||||
| 14. | Surrogate-Assisted Reliability Optimisation of an Aircraft Wing with Static and Dynamic Aeroelastic Constraints | Sleesongsom, S. Panagant, N. Pholdee, N. Bureerat, S. |
2020 |
International Journal of Aeronautical and Space Sciences 3 (21), pp. 723-732 |
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| 15. | A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 |
Archives of Computational Methods in Engineering 5 (28), pp. 4031-4047 |
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| 16. | A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems | Pholdee, N. Panagant, N. Bureerat, S. |
2021 |
Engineering with Computers (), pp. |
||||||||
| 17. | A novel hybrid marine predators-Nelder-Mead optimization algorithm for the optimal design of engineering problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 |
Materialpruefung/Materials Testing 5 (63), pp. 453-457 |
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| 18. | Comparative Performance of Twelve Metaheuristics for Wind Farm Layout Optimisation | Kunakote, T. Panagant, N. Pholdee, N. Bureerat, S. |
2021 |
Archives of Computational Methods in Engineering (), pp. |
||||||||
| 19. | Hybrid Taguchi-Lévy flight distribution optimization algorithm for solving real-world design optimization problems | Panagant, N. Pholdee, N. Bureerat, S. |
2021 |
Materialpruefung/Materials Testing 6 (63), pp. 547-551 |
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| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | Total | ||||||
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| Title | Authors | NRIIS type | Year | NRIIS Scholarship |
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