Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"

A comprehensive Python implementation of MOEA/D (Multiobjective Evolutionary Algorithm based on Decomposition), a state-of-the-art algorithm for solving multiobjective optimization problems. This implementation is based on the seminal work by Zhang and Li (2007).

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

The cMIBACO implementation for lightly robust solutions in MOGenConVRP under uncertainty.

Algorithms for computing or learning equilibria in multi-objective games

MEDEA: A Multi-objective Evolutionary Approach to DNN Hardware Mapping

A Julia package for solving multi-objective optimization problems with composite structure (F = f + h). Implements Conditional Gradient, Proximal Gradient, and Partially Derivative-Free algorithms that operate directly on the vector-valued objective, without scalarization or heuristics (direct / vector-optimization methods).

Multi-objective adversarial perturbations on LiDAR point clouds using NSGA-III to evaluate SLAM robustness. Integrates MOLA SLAM with Isaac Sim via ROS2.

Official Implementation: Boundary Decomposition for Nadir Objective Vector Estimation, NeurIPS 2024; Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization, AAAI 2025.

My Own Hyper-parameter Optimization Toolkit

single & multi objective optimiztion

A Julia wrapper for Bensolve

Genetic and evolutionary algorithm implementations in Python

A web application to generate class schedules for ITT students.

Code for Paper "Gridless Evolutionary Approach for Line Spectral Estimation With Unknown Model Order"

(Completed) Machine Learning and Multi-Objective Evolutionary Algorithms to Solve Real World Engineering Problems (MultiObjectiveOptimisation and ML)

Benchmark library of vector-valued optimization problems in Julia, with analytic per-objective gradients, filtering functions, and a unified interface for testing and comparisons of multi-objective solvers.

A rational and extensible algorithm for solving multi-objective optimization problems

Multi-Objective Optimization using MOOTLBO algorithm for solving complex optimization problems.

PDF's of all of my current publications.