Dikshit Chauhan, Anupam Yadav, and Rammohan Mallipeddi. "EAEFA-R: Multiple learning-based ensemble artificial electric field algorithm for global optimization." Knowledge-Based Systems, Elsevier, (2025): 113453. Source Code
Dikshit Chauhan, Anupam Yadav, and Sung-Bae Cho. "AEFA-FDB: A score-based artificial electric field algorithm for optimal reactive power dispatch problem with renewable and load demand uncertainties." Applied Soft Computing, Elsevier, (2025): 113292. Source Code
Dikshit Chauhan and Shivani. "Self-adaptive and locally-guided artificial electric field algorithm for global optimization with aggregative learning." Knowledge-Based Systems, Elsevier (2025): 113835. Source Code
Dikshit Chauhan, Shivani, and PN Suganthan. "Learning Strategies for Particle Swarm Optimizer: A Critical Review and Performance Analysis." Swarm and Evolutionary Computation, Elsevier, (2025): 102048.
Dikshit Chauhan, Shivani, Donghwi Jung, and Anupam Yadav. "Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives." Artificial Intelligence Review, Springer (2025).
Dikshit Chauhan and Shivani. "Optimization of hybrid active power filters using dynamic fitness-distance balance-based metaheuristic approach ." Neural Computing and Applications, Springer (2025). (Accepted)
Dikshit Chauhan and Anupam Yadav. "An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems." Applied Soft Computing, Elsevier, 150 (2024): 111109.
Dikshit Chauhan, Anupam Yadav, and Ferrante Neri. "A multi-agent optimization algorithm and its application to training multilayer perceptron models." Evolving Systems, Springer, 15.3 (2024): 849-879. Source Code
Dikshit Chauhan, Anupam Trivedi, and Anupam Yadav. "U-AEFA: Online and offline learning-based unified artificial electric field algorithm for real parameter optimization." Knowledge-Based Systems, Elsevier, 305 (2024): 112636. Source Code
Dikshit Chauhan, Shivani, and Ran Cheng. "Competitive Swarm Optimizer: A decade survey." Swarm and Evolutionary Computation, Elsevier, 87 (2024): 101543.
Dikshit Chauhan and Shivani. "Offline learning-based competitive swarm optimizer for non-linear fixed-charge transportation problems." Swarm and Evolutionary Computation, Elsevier, 88 (2024): 101608.
Dikshit Chauhan, Shivani, and Deepika Rani. "A feasibility restoration particle swarm optimizer with chaotic maps for two-stage fixed-charge transportation problems." Swarm and Evolutionary Computation, Elsevier, 91 (2024): 101776. Source Code
Dikshit Chauhan and Anupam Yadav. "Stability and agent dynamics of artificial electric field algorithm." The Journal of Supercomputing, Springer, 80.1 (2024): 835-864.
Dikshit Chauhan and Anupam Yadav. "A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications." Archives of Computational Methods in Engineering, Springer, (2024): 1-53.
Dikshit Chauhan and Anupam Yadav. "Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm." Engineering Applications of Artificial Intelligence, Elsevier, 123 (2023): 106469.
Dikshit Chauhan and Anupam Yadav. "An adaptive artificial electric field algorithm for continuous optimization problems." Expert Systems, Wiley, 40.9 (2023): e13380. Source Code
Dikshit Chauhan and Anupam Yadav. "A competitive and collaborative-based multilevel hierarchical artificial electric field algorithm for global optimization." Information Sciences, Elsevier, 648 (2023): 119535.
Dikshit Chauhan and Anupam Yadav. "A crossover-based optimization algorithm for multilevel image segmentation." Soft Computing, Springer, (2023): 1-33.
Dikshit Chauhan and Anupam Yadav. "Binary artificial electric field algorithm." Evolutionary Intelligence, Springer, 16.4 (2023): 1155-1183. Source Code
Dikshit Chauhan, Shivani, and PN Suganthan. "Learning Strategies for Particle Swarm Optimizer: A Critical Review and Performance Analysis." Swarm and Evolutionary Computation, Elsevier, (2025).
Dikshit Chauhan, Shivani, Donghwi Jung, and Anupam Yadav. "Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives." Artificial Intelligence Review, Springer (2025).
Dikshit Chauhan and Anupam Yadav. "A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications." Archives of Computational Methods in Engineering (2024): 1-53.
Dikshit Chauhan, Shivani, and Ran Cheng. "Competitive Swarm Optimizer: A decade survey." Swarm and Evolutionary Computation 87 (2024): 101543.
Indu Bala, Dikshit Chauhan, and Lewis Mitchell. "Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization." Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2024.
Dikshit Chauhan and Anupam Yadav. "An Ensemble of PSO and Artificial Electric Field Algorithm for Computationally Expensive Optimization Problems." International conference on soft computing for problem-solving. Singapore: Springer Nature Singapore, 2023.
Dikshit Chauhan and Anupam Yadav. "Xor-based binary aefa: theoretical studies and applications." 2022 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2022. Source Code
Dikshit Chauhan and Anupam Yadav. "A hybrid of artificial electric field algorithm and differential evolution for continuous optimization problems." Proceedings of 7th International conference on harmony search, soft computing and applications: ICHSA 2022. Singapore: Springer Nature Singapore, 2022.
Dikshit Chauhan and Anupam Yadav. "Performance of Artificial Electric Field Algorithm on 100 Digit Challenge Benchmark Problems (CEC-2019)." Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020.
Dikshit Chauhan, Bapi Dutta, Indu Bala, Niki van Stein, Thomas Bäck, and Anupam Yadav. "Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications." arXiv preprint arXiv:2505.15741 (2025).
Dikshit Chauhan, Nitin Gupta, and Anupam Yadav. "An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems." arXiv preprint arXiv:2504.01331 (2025).
Dikshit Chauhan, Donghwi Jung, and Anupam Yadav. "Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives." arXiv preprint arXiv:2504.00717 (2025).
Dikshit Chauhan and Anupam Trivedi. "UDE-IV: An Enhanced Unified Differential Evolution Algorithm for CEC 2025 Constrained Optimization Problems." (2025). Source Code (Runner-up of the CEC 2025 Single-objective Constrained Optimization Problems)
Anupam Trivedi and Dikshit Chauhan. "UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems." arXiv preprint arXiv:2410.03992 (2024). Source Code (Winner of the CEC 2024 Single-objective Constrained Optimization Problems)
Dikshit Chauhan and Anupam Trivedi. "A Multi-operator Ensemble LSHADE with Restart and Local Search Mechanisms for Single-objective Optimization." arXiv preprint arXiv:2409.15994 (2024). Source Code (Runner-up of the CEC 2024 Single-objective Unconstrained Optimization Problems)
Wathsala Karunarathne, Indu Bala, Dikshit Chauhan, Matthew Roughan, and Lewis Mitchell. "Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism." arXiv preprint arXiv:2407.00939 (2024). (Runner-up of the GECCO 2024 Competition on Benchmarking Niching Methods for Multi-Modal Optimization)