A Hybrid of Artificial Electric Field Algorithm and Differential Evolution for Continuous Optimization Problems. - Dikshit Chauhan; Anupam Yadav (ICHSA, 2022)

XOR-Based Binary AEFA: Theoretical Studies and Applications. - Dikshit Chauhan; Anupam Yadav (SSCI, 2022)

Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm. - Dikshit Chauhan; Anupam Yadav (Eng. Appl. Artif. Intell., 2023)

Binary Artificial Electric Field Algorithm. - Dikshit Chauhan; Anupam Yadav (Evol. Intell., 2023)

An adaptive artificial electric field algorithm for continuous optimization problems. - Dikshit Chauhan; Anupam Yadav (Expert Syst. J. Knowl. Eng., 2023)

A competitive and collaborative-based multilevel hierarchical artificial electric field algorithm for global optimization. - Dikshit Chauhan; Anupam Yadav (Inf. Sci., 2023)

Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization. - Indu Bala; Dikshit Chauhan; Lewis Mitchell (GECCO Companion, 2024)

Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism. - Wathsala Karunarathne; Indu Bala; Dikshit Chauhan; Matthew Roughan; Lewis Mitchell (CoRR, 2024)

A Multi-operator Ensemble LSHADE with Restart and Local Search Mechanisms for Single-objective Optimization. - Dikshit Chauhan; Anupam Trivedi; Shivani (CoRR, 2024)

UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems. - Anupam Trivedi; Dikshit Chauhan (CoRR, 2024)

U-AEFA: Online and offline learning-based unified artificial electric field algorithm for real parameter optimization. - Dikshit Chauhan; Anupam Trivedi; Anupam Yadav (Knowl. Based Syst., 2024)

Offline learning-based competitive swarm optimizer for non-linear fixed-charge transportation problems. - Dikshit Chauhan; Shivani (Swarm Evol. Comput., 2024)

Competitive Swarm Optimizer: A decade survey. - Dikshit Chauhan; Shivani; Ran Cheng (Swarm Evol. Comput., 2024)

A feasibility restoration particle swarm optimizer with chaotic maps for two-stage fixed-charge transportation problems. - Shivani; Dikshit Chauhan; Deepika Rani (Swarm Evol. Comput., 2024)

An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems. - Dikshit Chauhan; Anupam Yadav (Appl. Soft Comput., 2024)

Stability and agent dynamics of artificial electric field algorithm. - Dikshit Chauhan; Anupam Yadav (J. Supercomput., 2024)

A multi-agent optimization algorithm and its application to training multilayer perceptron models. - Dikshit Chauhan; Anupam Yadav; Ferrante Neri (Evol. Syst., 2024)

AEFA-FDB: A score-based artificial electric field algorithm for optimal reactive power dispatch problem with renewable and load demand uncertainties. - Dikshit Chauhan; Anupam Yadav; Sung-Bae Cho (Appl. Soft Comput., 2025)

Self-adaptive and locally-guided artificial electric field algorithm for global optimization with aggregative learning. - Dikshit Chauhan; Shivani (Knowl. Based Syst., 2025)

EAEFA-R: Multiple learning-based ensemble artificial electric field algorithm for global optimization. - Dikshit Chauhan; Anupam Yadav; Rammohan Mallipeddi (Knowl. Based Syst., 2025)

Learning strategies for particle swarm optimizer: A critical review and performance analysis. - Dikshit Chauhan; Shivani; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2025)

An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems. - Dikshit Chauhan; Nitin Gupta; Anupam Yadav (CoRR, 2025)

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications. - Dikshit Chauhan; Bapi Dutta; Indu Bala; Niki van Stein; Thomas Bäck; Anupam Yadav (CoRR, 2025)

Advancements in multimodal differential evolution: a comprehensive review and future perspectives. - Dikshit Chauhan; Shivani; Donghwi Jung; Anupam Yadav (Artif. Intell. Rev., 2025)