A cross mutation-based differential evolution for data clustering. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev (Int. J. Data Min. Model. Manag., 2017)

Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev; Tripti Swarnkar (Connect. Sci., 2018)

Multi-objective clustering: a kernel based approach using Differential Evolution. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev (Connect. Sci., 2019)

Elitism based Multi-Objective Differential Evolution for feature selection: A filter approach with an efficient redundancy measure. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev; Tripti Swarnkar (J. King Saud Univ. Comput. Inf. Sci., 2020)

Identifying infrastructural gap areas for smart and sustainable tribal village development: A data science approach from India. - Navaljit Kapoor; Nadeem Ahmad; Subrat Kumar Nayak; Surya Prakash Singh; P. Vigneswara Ilavarasan; Prasanna Ramamoorthy (Int. J. Inf. Manag. Data Insights, 2021)

A Modified Cuckoo Search Algorithm for Data Clustering. - Preeti Pragyan Mohanty; Subrat Kumar Nayak (Int. J. Appl. Metaheuristic Comput., 2022)

A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction. - Nrusingha Tripathy; Subrat Kumar Nayak; Sashikanta Prusty (Frontiers Blockchain, 2024)

Balancing exploration and exploitation: Unleashing the adaptive power of automatic cuckoo search for meta-heuristic optimization. - Subrat Kumar Nayak; Biswa Ranjan Senapati; Debahuti Mishra (Intell. Decis. Technol., 2024)

A comprehensive analysis of Bitcoin volatility forecasting using time-series econometric models. - Nrusingha Tripathy; Sarbeswara Hota; Debabrata Singh; Biswa Mohan Acharya; Subrat Kumar Nayak (Appl. Soft Comput., 2025)