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Ahsanul Habib
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2020 – today
- 2020
- [c8]Tapabrata Ray, Hemant Kumar Singh
, Ahsanul Habib, Tobias Rodemann, Markus Olhofer:
Online intensification of search around solutions of interest for multi/many-objective optimization. CEC 2020: 1-8 - [c7]Kamrul Hasan Rahi
Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space. GECCO Companion 2020: 201-202 - [c6]Ahsanul Habib, Kamrul Hasan Rahi
Wind-turbine design optimization using a many-objective evolutionary algorithm. GECCO Companion 2020: 267-268
2010 – 2019
- 2019
- [b1]Ahsanul Habib:
Efficient algorithms for computationally expensive optimization problems. University of New South Wales, Sydney, Australia, 2019 - [j2]Ahsanul Habib
A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm. Inf. Sci. 502: 537-557 (2019) - [j1]Ahsanul Habib
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(6): 1000-1014 (2019) - [c5]Ahsanul Habib, Hemant Kumar Singh
A component-wise study of K-RVEA: observations and potential future developments. GECCO (Companion) 2019: 201-202 - 2018
- [c4]Tapabrata Ray, Ahsanul Habib, Hemant Kumar Singh
Uncovering Performance Envelopes Through Optimum Design of Tests. Australasian Conference on Artificial Intelligence 2018: 445-457 - 2017
- [c3]Ahsanul Habib, Hemant Kumar Singh
A Batch Infill Strategy for Computationally Expensive Optimization Problems. ACALCI 2017: 74-85 - 2016
- [c2]Ahsanul Habib, Hemant Kumar Singh
A multi-objective batch infill strategy for efficient global optimization. CEC 2016: 4336-4343 - [c1]Ahsanul Habib, Hemant Kumar Singh
A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework. SSCI 2016: 1-8
Coauthor Index
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