A multi-objective batch infill strategy for efficient global optimization. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (SSCI, 2016)

A Batch Infill Strategy for Computationally Expensive Optimization Problems. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (ACALCI, 2017)

Uncovering Performance Envelopes Through Optimum Design of Tests. - Tapabrata Ray; Ahsanul Habib; Hemant Kumar Singh; Michael J. Ryan (Australasian Conference on Artificial Intelligence, 2018)

A component-wise study of K-RVEA: observations and potential future developments. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2019)

A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm. - Ahsanul Habib; Hemant K. Singh; Tapabrata Ray (Inf. Sci., 2019)

A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. - Ahsanul Habib; Hemant Kumar Singh; Tinkle Chugh; Tapabrata Ray; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2019)

Efficient algorithms for computationally expensive optimization problems. - Ahsanul Habib (2019)

Online intensification of search around solutions of interest for multi/many-objective optimization. - Tapabrata Ray; Hemant Kumar Singh; Ahsanul Habib; Tobias Rodemann; Markus Olhofer (CEC, 2020)

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)