activity
20182026
most citedA Sequential Quadratic Programming Method for Constrained Multi-objective Optimization Problems

28 citations · 49 across the 8 of their papers we have counts for

collaborators

10 papers

math.OC2026

Adaptive Variance-Reduced Stochastic Sequential (Quadratic Constrained) Quadratic Programming

Gopal Tiwari, Md Abu Talhamainuddin Ansary

In this paper, we propose an adaptive variance-reduced stochastic sequential (quadratic constrained) quadratic programming (AVR-SS(QC)QP) method for nonlinear constrained optimizat…

math.OC2026

One-parameter Filled Function Method for Non-convex Multi-objective Optimization Problems

Bikram Adhikary, Md Abu Talhamainuddin Ansary

In this paper, a new one-parameter filled function approach is developed for nonlinear multi-objective optimization. Inspired by key filled function ideas from single-objective opt…

math.OC2025

A Conjugate Gradient Method for Nonlinear Programming Problems using Caputo Fractional Gradients

Barsha Shawa, Md Abu Talhamainuddin Ansary

The article proposes a Caputo fractional conjugate gradient (CFCG) method for unconstrained optimization problems which is applicable to smooth as well as non-smooth problmes. The…

math.OC2025

Global Descent Method for Non-convex Multi-objective Optimization Problems

Bikram Adhikary, Md Abu Talhamainuddin Ansary, Savin Treanta

In this paper, we develop a global descent method for non-convex multi-objective optimization problems. The proposed approach builds upon foundational concepts from single-objectiv…

math.OC2025

An Adaptive Order Caputo Fractional Gradient Descent Method for Multi-objective Optimization Problems

Barsha Shaw, Md Abu Talhamainuddin Ansary

This article introduces the multi-objective adaptive order Caputo fractional gradient descent (MOAOCFGD) algorithm for solving unconstrained multi-objective problems. The proposed…

math.OC2024

A Trust Region Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems

Md Abu Talhamainuddin Ansary

In this paper, a globally convergent trust region proximal gradient method is developed for composite multi-objective optimization problems where each objective function can be rep…

math.OC2024

A Tunneling Method for Nonlinear Multi-objective Optimization Problems

Bikram Adhikary, Md Abu Talhamainuddin Ansary

In this paper, a tunneling method is developed for nonlinear multiobjective optimization problems using some ideas of the single objective tunneling method. The proposed method doe…

math.OC2023★ 1 cited

A Quasi Newton Method for Uncertain Multiobjective Optimization Problems via Robust Optimization Approach

Shubham kumar, Nihar Kumar Mahato, Md Abu T Ansary +1

In this paper, we propose a quasi Newton method to solve the robust counterpart of an uncertain multiobjective optimization problem under an arbitrary finite uncertainty set. Here…

math.OC2022★ 20 cited

A Newton-Type Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems

Md Abu Talhamainuddin Ansary

In this paper, a globally convergent Newton-type proximal gradient method is developed for composite multi-objective optimization problems where each objective function can be repr…

math.OC2018★ 28 cited

A Sequential Quadratic Programming Method for Constrained Multi-objective Optimization Problems

Md Abu Talhamainuddin Ansary, Geetanjali Panda

In this article, a globally convergent sequential quadratic programming (SQP) method is developed for multi-objective optimization problems with inequality type constraints. A feas…