Ahsanul Habib

Orcid: 0000-0003-0854-3547

According to our database1, Ahsanul Habib authored at least 10 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2020
Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Wind-turbine design optimization using a many-objective evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Online intensification of search around solutions of interest for multi/many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm.
Inf. Sci., 2019

A component-wise study of K-RVEA: observations and potential future developments.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Uncovering Performance Envelopes Through Optimum Design of Tests.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
A Batch Infill Strategy for Computationally Expensive Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A multi-objective batch infill strategy for efficient global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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