PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Esonye, C., Onukwuli, O. D., Anadebe, V. C., Ezeugo, J. N. O., & Ogbodo, N. J. (2021). Application of soft-computing techniques for statistical modeling and optimization of Dyacrodes edulis seed oil extraction using polar and non-polar solvents. Heliyon, 7(3), Article e06342. https://doi.org/10.1016/j.heliyon.2021.e06342

• Fadaee, M., Mahdavi-Meymand, A., & Zounemat-Kermani, M. (2022). Suspended sediment prediction using integrative soft computing models: On the analogy between the butterfly optimization and genetic algorithms. Geocarto International, 37(4), 961-977. https://doi.org/10.1080/10106049.2020.1753821

• Feng, Q., & Zhou, X. (2019). Automated and robust multi-objective optimal design of thin-walled product injection process based on hybrid RBF-MOGA. The International Journal of Advanced Manufacturing Technology, 101, 2217-2231. https://doi.org/10.1007/s00170-018-3084-5

• Feng, Y., Lu, R., Gao, Y., Zheng, H., Wang, Y., & Mo, W. (2018). Multi-objective optimization of VBHF in sheet metal deep-drawing using Kriging, MOABC, and set pair analysis. The International Journal of Advanced Manufacturing Technology, 96, 3127-3138. https://doi.org/10.1007/s00170-017-1506-4

• Ganesh, N., Shankar, R., Kalita, K., Jangir, P., Oliva, D., & Pérez-Cisneros, M. (2023). A novel decomposition-based multi-objective symbiotic organism search optimization algorithm. Mathematics, 11(8), Article 1898. https://doi.org/10.3390/math11081898

• Goudos, S. K., Deruyck, M., Plets, D., Martens, L., Psannis, K. E., Sarigiannidis, P., & Joseph, W. (2019). A novel design approach for 5G massive MIMO and NB-IoT green networks using a hybrid jaya-differential evolution algorithm. IEEE Access, 7, 105687-105700. https://doi.org/10.1109/ACCESS.2019.2932042

• Guo, Y., Liu, W., Sun, M., Xu, B., & Li, D. (2018). A method based on semi-solid forming for eliminating coarse dendrites and shrinkage porosity of H13 tool steel. Metals, 8(4), Article 277. https://doi.org/10.3390/met8040277

• Jangir, P., Buch, H., Mirjalili, S., & Manoharan, P. (2023). MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems. Evolutionary Intelligence, 16, 169-195. https://doi.org/10.1007/s12065-021-00649-z

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• Jian, X., & Weng, Z. (2020). A logistic chaotic JAYA algorithm for parameters identification of photovoltaic cell and module models. Optik, 203, Article 164041. https://doi.org/10.1016/j.ijleo.2019.164041

• Khosravi, H., Eslami-Farsani, R., & Askari-Paykani, M. (2014). Modeling and optimization of cooling slope process parameters for semi-solid casting of A356 Al alloy. Transactions of Nonferrous Metals Society of China (English Edition), 24(4), 961-968. https://doi.org/10.1016/S1003-6326(14)63149-6

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• Kumar, S. D., Mandal, A., & Chakraborty, M. (2014). Cooling slope casting process of semi-solid aluminum alloys: A review. International Journal of Engineering Research & Technology (IJERT), 3(7), 269-283.

• Kumar, S. B., Idris, M. H., Farah, N. F. N., & Kamal, R. (2013). Investigation of mechanical properties of AZ91D magnesium alloy by gravity die casting process. Jurnal Mekanikal, 36, 1-9.

• Li, K., Chen, R., Fu, G., & Yao, X. (2019). Two-archive evolutionary algorithm for constrained multiobjective optimization. IEEE Transactions on Evolutionary Computation, 23(2), 303-315. https://doi.org/10.1109/TEVC.2018.2855411

• Li, S., Fan, X., Huang, H., & Cao, Y. (2020). Multi-objective optimization of injection molding parameters, based on the Gkriging-NSGA-vague method. Journal of Applied Polymer Science, 137(19), Article 48659. https://doi.org/10.1002/app.48659

• Mishra, P., & Sahu, A. (2018). Manufacturing process optimization using pso by optimal machine combination on cluster level. Materials Today: Proceedings, 5(9), 19200-19208. https://doi.org/10.1016/j.matpr.2018.06.275

• Nafisi, S., & Ghomashchi, R. (2019). Semi-solid processing of alloys and composites. Metals, 9(5), Article 526. https://doi.org/10.3390/met9050526

• Narayanan, R. C., Ganesh, N., Čep, R., Jangir, P., Chohan, J. S., & Kalita, K. (2023). A novel many-objective sine-cosine algorithm (MaOSCA) for engineering applications. Mathematics, 11(10), Article 2301. https://doi.org/10.3390/math11102301

• Onifade, M., Lawal, A. I., Aladejare, A. E., Bada, S., & Idris, M. A. (2022). Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis. International Journal of Coal Preparation and Utilization, 42(4), 1170-1184. https://doi.org/10.1080/19392699.2019.1695605

• Pandya, S. B., Visumathi, J., Mahdal, M., Mahanta, T. K., & Jangir, P. (2022). A novel MOGNDO algorithm for security-constrained optimal power flow problems. Electronics, 11(22), Article 3825. https://doi.org/10.3390/electronics11223825

• Patel, G. C. M., Krishna, P., Vundavilli, P. R., & Parappagoudar, M. B. (2016a). Multi-objective optimization of squeeze casting process using genetic algorithm and particle swarm optimization. Archives of Foundry Engineering, 16(3), 172-186. https://doi.org/10.1515/afe-2016-0073

• Patel, G. C. M., Krishna, P., & Parappagoudar, M. B. (2016b). Modelling and multi-objective optimisation of squeeze casting process using regression analysis and genetic algorithm. Australian Journal of Mechanical Engineering, 14(3), 182-198. https://doi.org/10.1080/14484846.2015.1093231

• Patel, G. C. M., Krishna, P., & Parappagoudar, M. B. (2015). Modelling of squeeze casting process using design of experiments and response surface methodology. International Journal of Cast Metals Research, 28(3), 167-180. https://doi.org/10.1179/1743133614Y.0000000144

• Premkumar, M., Jangir, P., Sowmya, R., Elavarasan, R. M., & Kumar, B. S. (2021). Enhanced chaotic JAYA algorithm for parameter estimation of photovoltaic cell/modules. ISA Transactions, 116, 139-166. https://doi.org/10.1016/j.isatra.2021.01.045

• Premkumar, M., Jangir, P., Kumar, B. S., Alqudah, M. A., & Nisar, K. S. (2022). Multi-objective grey wolf optimization algorithm for solving real-world BLDC motor design problem. Computers, Materials & Continua, 70(2), 2435-2452. https://doi.org/10.32604/cmc.2022.016488

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• Rao, R. Venkata, Keesari, H. S., Oclon, P., & Taler, J. (2019). Improved multi-objective Jaya optimization algorithm for a solar dish Stirling engine. Journal of Renewable and Sustainable Energy, 11(2), Article 025903. https://doi.org/10.1063/1.5083142

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• Singh, A., Singh, R. M., Kumar, A. R. S., Kumar, A., Hanwat, S., & Tripathi, V. K. (2021). Evaluation of soft computing and regression-based techniques for the estimation of evaporation. Journal of Water and Climate Change, 12(1), 32-43. https://doi.org/10.2166/wcc.2019.101

• Son, Y. G., Jung, S. S., Park, Y. H., & Lee, Y. C. (2021). Effect of semi-solid processing on the microstructure and mechanical properties of aluminum alloy chips with eutectic Mg2Si intermetallics. Metals, 11(9), Article 1414. https://doi.org/10.3390/met11091414

• Tanvir, M. H., Hussain, A., Rahman, M. M. T., & Ishraq, S, Zishan, K., Rahul, S. T., & Habib, M. A. (2020). Multi-objective optimization of turning operation of stainless steel using a hybrid whale optimization algorithm. Journal of Manufacturing and Materials Processing, 4(3), Article 64. https://doi.org/10.3390/jmmp4030064

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• Vinh, L., & Nguyen, N. S. (2020). Parameters extraction of solar cells using modified JAYA algorithm. Optik, 203, Article 164034. https://doi.org/10.1016/j.ijleo.2019.164034

• Warid, W., Hizam, H., Mariun, N., & Wahab, N. I. A. (2018). A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution. Applied Soft Computing, 65, 360-373. https://doi.org/10.1016/j.asoc.2018.01.039

• Wu, C., & He, Y. (2020). Solving the set-union knapsack problem by a novel hybrid Jaya algorithm. Soft Computing, 24, 1883-1902. https://doi.org/10.1007/s00500-019-04021-3

• Wu, H., Yang, X., Cao, G., Zhao, L., & Yang, L. (2021). Design and optimisation of die casting process for heavy-duty automatic transmission oil circuit board. International Journal of Cast Metals Research, 31(2), 88-96. https://doi.org/10.1080/13640461.2021.1904673

• Zamli, K., Alsewari, A., & S. Ahmed, B. (2018). Multi-start jaya algorithm for software module clustering problem. Azerbaijan Journal of High Performance Computing, 1(1), 87-112.

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