Investigating the use of sequencing and infeasibility driven strategies for constrained optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (CEC, 2019)

Wind-turbine design optimization using a many-objective evolutionary algorithm. - Ahsanul Habib; Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2020)

Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space. - Kamrul Hasan Rahi; Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2020)

Feasibility-ratio based sequencing for computationally efficient constrained optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (Swarm Evol. Comput., 2021)

Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2021)

Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. - Tapabrata Ray; Hemant Kumar Singh; Kamrul Hasan Rahi; Tobias Rodemann; Markus Olhofer (Appl. Soft Comput., 2022)

A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (CEC, 2023)

Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop. - Matthew Lette; Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (GECCO, 2023)

A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2023)

Towards solving expensive optimization problems with heterogeneous constraint costs. - Kamrul Hasan Rahi; Hemant K. Singh; Tapabrata Ray (GECCO Companion, 2024)

An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems. - Kamrul Hasan Rahi (CoRR, 2024)