Optimum redesign of scale-free networks with robustness and cost considerations. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2016)

Improving Symbolic Regression through a semantics-driven framework. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (SSCI, 2016)

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems. - Shelvin Chand; Quang Nhat Huynh; Hemant K. Singh; Tapabrata Ray; Markus Wagner 007 (Inf. Sci., 2018)

Genetic Programming With Mixed-Integer Linear Programming-Based Library Search. - Quang Nhat Huynh; Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2018)

Investigating the use of linear programming to solve implicit symbolic regression problems. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2019)

Discovery of implicit relationships from data using linear programming and mixed integer linear programming. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2022)

Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. - Quang Nhat Huynh; Hemant K. Singh; Tapabrata Ray; Akira Oyama (SSCI, 2022)