Publications

1. S. Mohapatra, P. Mohapatra, Fast Random Opposition-Based Learning Golden Jackal Optimization Algorithm, Knowledge-Based Systems, Volume 275, 5 September 2023, 110679 (2023). DOI: https://doi.org/10.1016/j.knosys.2023.110679 (SCI, Q1, Impact: 8.139) 

2. V. Chandran, P. Mohapatra, Enhanced Opposition-Based Grey Wolf Optimizer for global optimization and engineering design problems, Alexandria Engineering Journal, Volume 76, 1 August 2023, Pages 429-467 (2023).  DOI: https://doi.org/10.1016/j.aej.2023.06.04 (SCIE, Q1, Impact: 6.626) 

MATLAB Code: https://data.mendeley.com/datasets/43wxw3w8sk/draft?a=e1b0d8c2-602c-43cc-b5b7-92b750229dcf

3. S. Mohapatra, P. Mohapatra, American zebra optimization algorithm for global optimization problems, Scientific Reports, Springer Nature, 13 (1) (2023). DOI: 10.1038/s41598-023-31876  (SCIE, Q1, Impact: 4.5) 

Matlab Code: data.mendeley.com/datasets/w48t69hg3k/draft?a=02793b95-da63-48ac-acb2-cbcb88ad792e 

4. S. Mohapatra, P. Mohapatra, An improved Golden Jackal Optimization algorithm using opposition-based learning for global optimization and engineering problems, International Journal of Computational Intelligence Systems, 16, 147 (2023). (SCIE, Q2, Impact: 2.9) (DOI 10.1007/s44196-023-00320-8)

5. S. Gopi, P. Mohapatra, Opposition-based Learning Cooking Algorithm (OLCA) for solving global optimization and engineering problems, International Journal of Modern Physics C (2023). (SCIE, Q3, Impact: 1.3) (DOI https://doi.org/10.1142/S0129183124500517)

6. S. Mohapatra, P. Sarangi, P. Mohapatra, An Improvised Grey Wolf Optimizer for Global Optimization Problems, Int. J. of Mathematics in Operational Research, 26 (2) 263 - 281 (2023) (Scopus DOI: 10.1504/IJMOR.2023.134490).

7. P. Sarangi, P. Mohapatra, Evolved Opposition-based Mountain Gazelle Optimizer to solve optimization problems, Journal of King Saud University - Computer and Information Sciences, 35, 10, December 2023, 101812,  2023. (SCIE, Q1, Impact: 6.9) DOI: https://doi.org/10.1016/j.jksuci.2023.101812 

8. Priteesha Sarangi, Prabhujit Mohapatra, Modified Hybrid GWO-SCA Algorithm for Solving Optimization Problems, 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. (ICDAC 2022) (Springer, Scopus) DOI: 10.1007/978-981-99-3432-4_10

1. P. Mohapatra, Combined economic emission dispatch in hybrid power systems using competitive swarm optimization, Journal of King Saud University - Computer and Information Sciences, 34 (10) (2022) 8955-8971. DOI: 10.1016/j.jksuci.2022.08.022 (SCIE, Q1, Impact: 6.9)

2. P. Mohapatra, K.N. Das, S. Roy, S. Dutta, S. S. Raju, A Review of Evolutionary Algorithms in Solving Large Scale Benchmark Optimization Problems, Int. J. of Mathematics in Operational Research, 21 (1) (2022) 104-126. (Scopus)

3. Priteesha Sarangi, Prabhujit Mohapatra, A Novel Cosine Swarm Algorithm for Solving Optimization Problems, 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. (ICHSA 2022) (Springer, Scopus) DOI: 10.1007/978-981-19-2948-9_41

4. S Gopi, Prabhujit Mohapatra, A Modified Whale Optimisation Algorithm to Solve Global Optimisation Problems, 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. (ICHSA 2022) (Springer, Scopus) DOI: 10.1007/978-981-19-2948-9_45

1. P. Mohapatra, K.N. Das, S. Roy, A modified competitive swarm optimizer for large scale optimization problems, Applied Soft Computing 59 (2017) 340-362. (SCIE, Q1, Impact: 8.7). DOI: 10.1016/j.asoc.2017.05.060 

MATLAB Code: https://data.mendeley.com/datasets/45wwrh5drr/draft?a=87c69052-8f46-4862-8538-8ae17be33e40

2. P. Mohapatra, K.N. Das, S. Roy, R. Kumar, A. Kumar, CSO Technique for Solving the Economic Dispatch Problem Considering the Environmental Constraints, Asian Journal of Water, Environment and Pollution 16 (2) (2019) 43-50. (Scopus, Impact: 0.5)

3. P. Mohapatra, K.N. Das, S. Roy, R. Kumar, N. Dey, A Novel Multi-Objective Competitive Swarm Optimization Algorithm, International Journal of Applied Metaheuristic Computing 11 (4) (2020) 6. (Scopus, ESCI, Impact: 0.238)

4. N. Kumar, R. Kumar, P. Mohapatra, R. Kumar, Modified competitive swarm technique for solving the economic load dispatch problem, Journal of Information and Optimization Sciences 41 (1) (2020) 173-184 (ESCI, Impact: 0.5).  

5. P. Mohapatra, K.N. Das, S. Roy, Novel competitive swarm optimizer for sampling-based image matting problem, Proceedings of Fourth International Conference on Smart Computing Paradigms: New Progresses and Challenges 766, pp. 109-120, 2020. (ICACNI 2018) (Springer, Scopus) DOI: 10.1007/978-981-13-9683-0_12

6. P. Mohapatra, K.N. Das, S. Roy, Inherited competitive swarm optimizer for large scale optimization problems, Proceedings of International Conference on Harmony Search and Nature Inspired Optimization Algorithms, Advances in Intelligent Systems and Computing 741, pp. 85-95, 2019. (ICHSA 2018) (Springer, Scopus) DOI: 10.1007/978-981-13-0761-4_9

7. P. Mohapatra, K.N. Das, S. Roy, An improvised competitive swarm optimizer for large scale optimization problems, Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 817, pp. 591-601, 2019. (SocPros 2017) (Springer, Scopus) DOI: 10.1007/978-981-13-1595-4_47

8. P. Mohapatra, S. Roy, AP-NSGA-II: An Evolutionary Multi-objective Optimization Algorithm Using Average-Point-Based NSGA-II, Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 336, pp. 565-575, 2015. (SocPros 2014) (Springer, Scopus) DOI: 10.1007/978-81-322-2220-0_47

9. P. Mohapatra, S. Roy, Mathematical Model for Optimization Perishable Resources with Uniform Decay, Proceedings of the International Conference on CIDM, Advances in Intelligent Systems and Computing 411, pp. 447-454, 2016. (ICCIDM 2015) (Springer, Scopus) DOI: 10.1007/978-81-322-2731-1_42