Grey wolf gravitational search algorithm. - Susheel Kumar Joshi; Jagdish Chand Bansal (IWCI, 2016)

Fitness varying gravitational constant in GSA. - Jagdish Chand Bansal; Susheel Kumar Joshi; Atulya K. Nagar (Appl. Intell., 2018)

Modified global best artificial bee colony for constrained optimization problems. - Jagdish Chand Bansal; Susheel Kumar Joshi; Harish Sharma (Comput. Electr. Eng., 2018)

Parameter tuning for meta-heuristics. - Susheel Kumar Joshi; Jagdish Chand Bansal (Knowl. Based Syst., 2020)

A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem. - Susheel Kumar Joshi; Jagdish Chand Bansal (CoRR, 2021)

A novel neighborhood archives embedded gravitational constant in GSA. - Susheel Kumar Joshi; Anshul Gopal; Shitu Singh; Atulya K. Nagar; Jagdish Chand Bansal (Soft Comput., 2021)

Chaos embedded opposition based learning for gravitational search algorithm. - Susheel Kumar Joshi (Appl. Intell., 2023)

Levy flight incorporated hybrid learning model for gravitational search algorithm. - Susheel Kumar Joshi (Knowl. Based Syst., 2023)

Efficient multi-region search in RBF surrogates using cross-entropy guided PSO for expensive optimization. - Rohit Kumar; Susheel Kumar Joshi (Inf. Sci., 2025)