• A Modified Competitive Swarm Optimizer for Large Scale Optimization Problems - P. Mohapatra, K.N. Das, S. Roy Applied Soft Computing 59, 340-362 (2017)
• Combined Economic Emission Dispatch in Hybrid Power Systems Using Competitive Swarm Optimization - P. Mohapatra Journal of King Saud University - Computer and Information Sciences 34 (10), 8955-8971 (2022)
• A Boosted African Vultures Optimization Algorithm Combined with Logarithmic Weight Inspired Novel Dynamic Chaotic Opposite Learning Strategy - V. Chandran, P. Mohapatra Expert Systems with Applications 271, 126532 (2025)
• ATSA: A Novel Augmented Low Discrepancy Sequence Initialized Tunicate Swarm-based Exponential Local Escaping Operator for Engineering Design Applications - V. Chandra, P. Mohapatra Journal of Big Data (2025)
• Optimal Placement of Fixed Hub Height Wind Turbines in a Wind Farm Using Twin Archive Guided Decomposition Based Multi-Objective Evolutionary Algorithm - S. S. Raju, P. Mohapatra, S. Dutta, R. Mallipeddi, K.N. Das Engineering Applications of Artificial Intelligence 130, 107735 (2024)
• Fast Random Opposition-Based Learning Golden Jackal Optimization Algorithm - S. Mohapatra, P. Mohapatra Knowledge-Based Systems 275, 110679 (2023)
• Performance Evaluation of Evolved Opposition-Based Mountain Gazelle Optimizer Techniques for Optimal Sizing of a Stand-Alone Hybrid Energy System - P. Sarangi, P. Mohapatra and H. Lala IEEE Access 12, 148450-148465 (2024)
• Modified Random-Oppositional Chaotic Artificial Rabbit Optimization Algorithm for Solving Structural Problems and Optimal Sizing of Hybrid Renewable Energy System - S. Mohapatra, H. Lala, P. Mohapatra Evol. Intel. 18, 21 (2025)
• A Novel Reward-Based Golden Jackal Optimization Algorithm Uses Mix Weighted Dynamic and Random Opposition Learning to Solve Optimization Problems - S. Mohapatra, P. Mohapatra Cluster Computing (2025)
• A Novel Q-Learning-Inspired Mountain Gazelle Optimizer for Solving Global Optimization Problems - Priteesha Sarangi, Sarada Mohapatra, Prabhujit Mohapatra International Journal of Machine Learning and Cybernetics (2025)
• American Zebra Optimization Algorithm for Global Optimization Problems - S. Mohapatra, P. Mohapatra Scientific Reports, Springer Nature 13 (1), 5211 (2023)
• Enhanced Opposition-Based Grey Wolf Optimizer for Global Optimization and Engineering Design Problems - V. Chandran, P. Mohapatra Alexandria Engineering Journal 76, 429-467 (2023)
• An Improved Golden Jackal Optimization Algorithm Using Opposition-Based Learning for Global Optimization and Engineering Problems - S. Mohapatra, P. Mohapatra International Journal of Computational Intelligence Systems 16, 147 (2023)
• Opposition-Based Learning Cooking Algorithm (OLCA) for Solving Global Optimization and Engineering Problems - S. Gopi, P. Mohapatra International Journal of Modern Physics C 35, 5, 240051 (2023)
• Evolved Opposition-Based Mountain Gazelle Optimizer to Solve Optimization Problems - P. Sarangi, P. Mohapatra Journal of King Saud University - Computer and Information Sciences 35, 10, 101812 (2023)
• Fast Random Opposition-Based Learning Aquila Optimization Algorithm - S. Gopi, P. Mohapatra Heliyon 10 (4), e26187 (2024)
• Chaotic-Based Mountain Gazelle Optimizer for Solving Optimization Problems - P. Sarangi, P. Mohapatra International Journal of Computational Intelligence Systems 17, 110 (2024)
• Learning Cooking Algorithm for Solving Global Optimization Problems - S. Gopi, P. Mohapatra Scientific Reports 14, 13359, Springer Nature (2024)
• A Novel Multi-Strategy Ameliorated Quasi-Oppositional Chaotic Tunicate Swarm Algorithm for Global Optimization and Constrained Engineering Applications - V. Chandran, P. Mohapatra Heliyon 10 (10), e30757 (2024)
• Chaotic Aquila Optimization Algorithm for Solving Global Optimization and Engineering Problems - S. Gopi, P. Mohapatra Alexandria Engineering Journal 108, 135-157 (2024)
• A Novel Reinforcement Learning-Inspired Tunicate Swarm Algorithm for Solving Global Optimization and Engineering Design Problems - V. Chandran, P. Mohapatra Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences 21, 565-612 (2024)
• An Improved Tunicate Swarm Algorithm with Random Opposition Based Learning for Global Optimization Problems - V. Chandran, P. Mohapatra OPSEARCH, Springer Nature (2024)
• An Improvised Grey Wolf Optimizer for Global Optimization Problems - S. Mohapatra, P. Sarangi, P. Mohapatra Int. J. of Mathematics in Operational Research 26 (2), 263 - 281 (2023)
• CSO Technique for Solving the Economic Dispatch Problem Considering the Environmental Constraints - P. Mohapatra, K.N. Das, S. Roy, R. Kumar, A. Kumar Asian Journal of Water, Environment and Pollution 16 (2), 43-50 (2019)
• A Novel Multi-Objective Competitive Swarm Optimization Algorithm - P. Mohapatra, K.N. Das, S. Roy, R. Kumar, N. Dey International Journal of Applied Metaheuristic Computing 11 (4) (2019)
• A Review of Evolutionary Algorithms in Solving Large Scale Benchmark Optimization Problems - P. Mohapatra, K.N. Das, S. Roy, S. Dutta, S. S. Raju Int. J. of Mathematics in Operational Research 21 (1), 104-126 (2022)
• A Modified Grey Wolf Optimization Algorithm to Solve Global Optimization Problems - S. Gopi, P. Mohapatra OPSEARCH, Springer Nature 62, 337–367 (2024)
• Modified Competitive Swarm Technique for Solving the Economic Load Dispatch Problem - N. Kumar, R. Kumar, P. Mohapatra, R. Kumar Journal of Information and Optimization Sciences 41 (1), 173-184 (2019)
• Modified Hybrid GWO-SCA Algorithm for Solving Optimization Problems - Priteesha Sarangi, P. Mohapatra ICDAC 2022: Proceedings on International Conference on Data Analytics and Computing, Lecture Notes on Data Engineering and Communications Technologies, Vol 175. Springer, pp. 121-128 (2023)
• A Novel Cosine Swarm Algorithm for Solving Optimization Problems - Priteesha Sarangi, P. Mohapatra Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, Lecture Notes on Data Engineering and Communications Technologies, Vol 140. Springer, pp. 427-434 (2022)
• A Modified Whale Optimisation Algorithm to Solve Global Optimisation Problems - S. Gopi, P. Mohapatra Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, Lecture Notes on Data Engineering and Communications Technologies, Vol 140. Springer, pp. 465-477 (2022)
• Novel Competitive Swarm Optimizer for Sampling-Based Image Matting Problem - P. Mohapatra, K.N. Das, S. Roy Proceedings of Fourth International Conference on Smart Computing Paradigms: New Progresses and Challenges 766, pp. 109-120 (2020)
• Inherited Competitive Swarm Optimizer for Large Scale Optimization Problems - P. Mohapatra, K.N. Das, S. Roy Proceedings of International Conference on Harmony Search and Nature Inspired Optimization Algorithms, Advances in Intelligent Systems and Computing 741, pp. 85-95 (2019)
• An Improvised Competitive Swarm Optimizer for Large Scale Optimization Problems - P. Mohapatra, K.N. Das, S. Roy Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 817, pp. 591-601 (2019)
• AP-NSGA-II: An Evolutionary Multi-objective Optimization Algorithm Using Average-Point-Based NSGA-II - P. Mohapatra, S. Roy Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 336, pp. 565-575 (2015)
• Mathematical Model for Optimization Perishable Resources with Uniform Decay - P. Mohapatra, S. Roy Proceedings of the International Conference on CIDM, Advances in Intelligent Systems and Computing 411, pp. 447-454 (2016)
• Analysis of Forecasting Models of Pandemic Outbreak for the Districts of Tamil Nadu - Iswarya, P., H. Sharan Prasad, P. Mohapatra In: Acharjya, D.P., Ma, K. (eds) Computational Intelligence in Healthcare Informatics. Studies in Computational Intelligence, vol 1132. Springer, Singapore (2024)
• Hybrid Grey Wolf Optimization and Salp Swarm Algorithm for Global Problems – S. Mohapatra, P. Mohapatra AIP Conference Proceedings, Volume 3253, Issue 1, id.030023, pp. 9 (2025)

BOOK CHAPTERS

• Text Book: Congestion Game Theory and Applications With Programming Code in C, LAP LAMBERT Academic Publishing, 2014, ISBN 3659570737 • Reference Book: Congestion Game Theory and Applications, BookRix GmbH & Co, 2014, ISBN 978-3 7368-2309-9
• Book Chapter:Iswarya, P., Sharan Prasad, H., Mohapatra, P., Analysis of Forecasting Models of Pandemic Outbreak for the Districts of Tamil Nadu. In: Acharjya, D.P., Ma, K. (eds) Computational Intelligence in Healthcare Informatics. Studies in Computational Intelligence, vol 1132. pp 251–259 Springer, Singapore, 2024. https://doi.org/10.1007/978-981-99-8853-2_16

PROJECTS

• Optimal placement of wind turbines in Tamilnadu using Multiobjective Evolutionary Algorithms, Agency: VITSEED Grant 2021, Amount: 150000, Duration: 24 Months (1-11-2021 to 30-10-2023)