A revised particle swarm optimization based discrete Lagrange multipliers method for nonlinear programming problems. - Ali Mohammad Nezhad; Hashem Mahlooji (Comput. Oper. Res., 2011)

A particle swarm-BFGS algorithm for nonlinear programming problems. - Ali Mohammad Nezhad; Roohollah Aliakbari Shandiz; Abdolhamid Eshraghniaye Jahromi (Comput. Oper. Res., 2013)

An artificial neural network meta-model for constrained simulation optimization. - Ali Mohammad Nezhad; Hashem Mahlooji (J. Oper. Res. Soc., 2014)

A polynomial primal-dual affine scaling algorithm for symmetric conic optimization. - Ali Mohammad Nezhad; Tamás Terlaky (Comput. Optim. Appl., 2017)

Quadratic convergence to the optimal solution of second-order conic optimization without strict complementarity. - Ali Mohammad Nezhad; Tamás Terlaky (Optim. Methods Softw., 2019)

A rounding procedure for semidefinite optimization. - Ali Mohammad Nezhad; Tamás Terlaky (Oper. Res. Lett., 2019)

On the identification of the optimal partition for semidefinite optimization. - Ali Mohammad Nezhad; Tamás Terlaky (INFOR Inf. Syst. Oper. Res., 2020)

On the sensitivity of the optimal partition for parametric second-order conic optimization. - Ali Mohammad Nezhad; Tamás Terlaky (Math. Program., 2021)

On the Central Path of Semidefinite Optimization: Degree and Worst-Case Convergence Rate. - Saugata Basu; Ali Mohammad Nezhad (SIAM J. Appl. Algebra Geom., 2022)

On Computing the Nonlinearity Interval in Parametric Semidefinite Optimization. - Jonathan D. Hauenstein; Ali Mohammad Nezhad; Tingting Tang; Tamás Terlaky (Math. Oper. Res., 2022)

On the complexity of analyticity in semi-definite optimization. - Saugata Basu; Ali Mohammad Nezhad (Adv. Appl. Math., 2024)

Semi-Algebraic Structure and Central Paths in Nonlinear Optimization. - Saugata Basu; Ali Mohammad Nezhad (ACM Commun. Comput. Algebra, 2024)