NOVEL MATE PREFERENCES IN HUMAN BEINGS INSPIRED OPTIMIZATION AND HYBRIDIZED POMSKY - PYGOSCELIS ANTARCTICUS - PHENGODES SWARM ALGORITHM

Authors

  • Lenin Kanagasabai Prasad V. Potluri Siddhartha Institute Of Technology

DOI:

https://doi.org/10.55766/sujst-2024-05-e03466

Keywords:

Mate, Preferences, Human beings, Pomsky - Pygoscelis antarcticus, Phengodes Swarm algorithm

Abstract

Mate Preferences in Human beings inspired Optimization (MPHO) Algorithm and Hybridized Pomsky -Pygoscelis antarcticus - Phengodes Swarm algorithm (HPPP) are applied for solving the genuine power loss reduction problem. Mate Preferences in Human beings inspired Optimization Algorithm has been designed mathematically based on the mate preferences in Human beings. Criteria of selecting the mate may be depending on social and economic conditions, physical attractiveness, stable and intellectual deeds. This action is scientifically demarcated in the exploration section of the procedure. In the exploitation division, both men and women analyze about the conditions in intensified mode before making a final decision. Pomsky Optimization Algorithm is based on the skilled movement of the Pomsky in examining process. Extraordinary snort possessed by Pomsky through which it can identify the various aromas and by level of barking will disclose about the intimacy near the examining entity. Pygoscelis antarcticus Optimization algorithm is designed by Pygoscelis antarcticus   clustering behaviour. In foraging Pygoscelis antarcticus moves in cluster or group.   Phengodes swarm optimization algorithm is a new algorithm which stimulated from the light emission behavior of glow worms to attract prey. Phengodes Swarm Optimization Algorithm incorporated with the parallel hybrid mutation which unites the uniform distribution mutation with the Gaussian distribution mutation. In hybridized Pomsky - Pygoscelis antarcticus - Phengodes Swarm (HPPP) algorithm, course of iterations and extraordinary degree of divergence will be there with the orientation of amplification.

References

Abd-El Wahab, A.M., Kamel, S., Hassan, M.H., Mosaad, M.I., and AbdulFattah, T.A. (2022). Optimal reactive power dispatch using a chaotic turbulent flow of water-based optimization algorithm. Mathematics, 10(3):346. https://doi.org/10.3390/math10030346

Ali, M.H., Soliman, A.M.A., Abdeen, M., Kandil, T., Abdelaziz, A.Y., and El-Shahat, A. (2023). A novel stochastic optimizer solving optimal Reactive Power Dispatch problem considering renewable energy resources. Energies, 16(4).

Awaar, V.K., Rani, M.N.S., Rani, G.S., Naragani, P., Talluri, S., and Vakkalanka, S.S. (2022). Design and development of a three phase induction motor drive using NI-myRIO. 2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT), Hyderabad, India, 2022, pp. 1-5. https://doi.org/10.1109/SeFeT55524.2022.9908900

Baba, M.F., Giridhar, A.V., and Narasimharaju, B.L. (2022). Nonisolated high gain hybrid switched‐inductor DC‐DC converter with common switch grounding. International Journal of Circuit Theory and Applications. https://doi.org/10.1002/cta.3295

Duong, T.L., Duong, M.Q., Phan, V.-D., and Nguyen, T.T. (2020). Optimal reactive power flow for large-scale power systems using an effective metaheuristic algorithm. Journal of Electrical and Computer Engineering, 2020:1-11. https://doi.org/10.1155/2020/6382507

El-Ela, A.A., Mouwafi, M., and Al-Zahar, W. (2019). Optimal transmission system expansion planning via binary bat algorithm. 2019 21st International Middle East Power Systems Conference (MEPCON), 1-5.

Habib Khan, N., Jamal, R., Ebeed, M., Kamel, S., Zeinoddini-Meymand, H., and Zawbaa, H.M. (2022). Adopting Scenario-Based approach to solve optimal reactive power Dispatch problem with integration of wind and solar energy using improved Marine predator algorithm. Ain Shams Engineering Journal, 13(5):101726. https://doi.org/10.1016/j.asej.2022.101726

Karthik, N., Parvathy, A.K., Arul, R., and Padmanathan, K. (2021). Levy interior search algorithm-based multi-objective optimal reactive power dispatch for voltage stability enhancement. In Lecture Notes in Electrical Engineering, 221-244.

Kumar, R., Diwania, S., Khetrapal, P., and Singh, S. (2022). Performance assessment of the two metaheuristic techniques and their Hybrid for power system stability enhancement with PV-STATCOM. Neural Computing & Applications, 34(5):3,723-3,744. https://doi.org/10.1007/s00521-021-06637-9

Kumar, Rajeev, Diwania, S., Khetrapal, P., Singh, S., and Badoni, M. (2021). Multimachine stability enhancement with hybrid PSO-BFOA based PV-STATCOM. Sustainable Computing Informatics and Systems, 32(1):1-15. https://doi.org/10.1016/j.suscom.2021.100615

Kumar, Rajeev, Singh, R., and Ashfaq, H. (2020a). Stability enhancement of induction generator-based series compensated wind power plants by alleviating subsynchronous torsional oscillations using BFOA‐optimal controller tuned STATCOM. Wind Energy, 23(9):1,846-1,867. https://doi.org/10.1002/we.2521

Kumar, Rajeev, Singh, R., and Ashfaq, H. (2020b). Stability enhancement of multi-machine power systems using Ant colony optimization-based static Synchronous Compensator. Computers & Electrical Engineering: An International Journal, 83(1):1-19. https://doi.org/10.1016/j.compeleceng.2020.106589

Kumar, Rajesh, Ashfaq, H., Singh, R., and Kumar, R. (2024).

A heuristic approach for insertion of multiple-complex coefficient-filter based DSTATCOM to enhancement of power quality in distribution system. Multimedia Tools and Applications. 67(4):1-18 https://doi.org/10.1007/s11042-024-19778-5

Lenin, K. (2023). Quasi Opposition-Based Quantum Pieris Rapae and Parametric Curve Search Optimization for Real Power Loss Reduction and Stability Enhancement. IEEE Transactions on Industry Applications, 59(3):3,077-3,085.

Li, Z., Cao, Y., Van Dai, L., Yang, X., and Nguyen, T.T. (2019). Finding solutions for optimal reactive power dispatch problem by a novel improved ant lion optimization algorithm. Energies, 12(15).

Malik, P., Awasthi, M., and Sinha, S. (2022). A techno-economic investigation of grid integrated hybrid renewable energy systems. Sustainable Energy Technologies and Assessments, 51(1):1-18. https://doi.org/10.1016/j.seta.2022.101976

Mandal, B., and Roy, P.K. (2013). Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization. International Journal of Electrical Power & Energy Systems, 53:123-134. https://doi.org/10.1016/j.ijepes.2013.04.011

Mouassa, S. and Bouktir, T. (2019). Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem. COMPEL. The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 38(1):304-324. https://doi.org/10.1108/compel-05-2018-0208

Mouassa, S., Bouktir, T., and Salhi, A. (2017). Ant lion optimizer for solving optimal reactive power dispatch problem in power systems. Engineering Science and Technology an International Journal, 20(3):885-895. https://doi.org/10.1016/j.jestch.2017.03.006

Mouwafi, M.T., El-Ela, A.A.A., El-Sehiemy, R.A., and Al-Zahar, W.K. (2022). Techno-economic based static and dynamic transmission network expansion planning using improved binary bat algorithm. Alexandria Engineering Journal, 61(2):1,383-1,401. https://doi.org/10.1016/j.aej.2021.06.021

Nakayama, H., Onuma, R., Betsui, M., Kaminaga, H., Miyadera, Y., and Nakamura, S. (2020). Methods for extracting changes in human relationships on web based on commonality analysis of graphs. 2020 IEEE Conference on Big Data and Analytics (ICBDA)., 1-6. https://doi.org/10.1109/ICBDA50157.2020.9289764

Omelchenko, I.N., Lyakhovich, D.G., Aleksandrov, A.A., Vodchits, A.S., and Kunkov, N.V. (2020). Development of a design algorithm for the logistics system of product distribution of the mechanical engineering enterprise. Bulletin of Moscow State Technical University, 3(132):62-69. https://doi.org/10.18698/0236-3941-2020-3-62-69

Pg, A.K., Jeyanthy, A., and Devaraj. (2022). Hybrid CAC-DE in optimal reactive power dispatch (ORPD) for renewable energy cost reduction. Sustainable Computing Informatics and Systems, 35:100688. https://doi.org/10.1016/j.suscom.2022.100688

Pullabhatla, S.K., Bobba, P.B., and Yadlapalli, S. (2020). Comparison of GAN, SIC, SI technology for high frequency and high efficiency inverters. E3S Web of Conferences, 184:01012. https://doi.org/10.1051/e3sconf/202018401012

Pushkarna, M., Ashfaq, H., Singh, R., and Kumar, R. (2024). An optimal placement and sizing of type-IV DG with reactive power support using UPQC in an unbalanced distribution system using particle swarm optimization. Energy Systems, 15(1):353-370. https://doi.org/10.1007/s12667-022-00551-2

Singh, S.K., Singh, R., Ashfaq, H., and Kumar, R. (2021). Virtual inertia emulation of inverter interfaced distributed generation (IIDG) for dynamic frequency stability & damping enhancement through BFOA tuned optimal controller. Arabian Journal for Science and Engineering. 47:3,293-3,310. https://doi.org/10.1007/s13369-021-06121-5

Srinivasulu, P. and Venkat, R. (2017). Human relationships analytics based on social networks. 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)., 235-238. https://doi.org/10.1109/ICSTM.2017.8089158

Tudose, A.M., Picioroaga, I.I., Sidea, D.O., and Bulac, C. (2021). Solving single - and multi - objective optimal reactive power dispatch problems using an improved salp swarm algorithm. Energies, 14(5):1,222. https://doi.org/10.3390/en14051222

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Published

2024-11-25

How to Cite

Kanagasabai , L. (2024). NOVEL MATE PREFERENCES IN HUMAN BEINGS INSPIRED OPTIMIZATION AND HYBRIDIZED POMSKY - PYGOSCELIS ANTARCTICUS - PHENGODES SWARM ALGORITHM. Suranaree Journal of Science and Technology, 31(5), 010326(1–13). https://doi.org/10.55766/sujst-2024-05-e03466