Multi-objective adversarial perturbations on LiDAR point clouds using NSGA-III to evaluate SLAM robustness. Integrates MOLA SLAM with Isaac Sim via ROS2.
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Updated
Dec 7, 2025 - Python
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
A web application to generate class schedules for ITT students.
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.
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
Multi-objective Bayesian optimization with decoupled objectives using knowledge gradient and expectation over linear scalarisations
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).
A lean little learning library, in LUA.
Genetic and evolutionary algorithm implementations in Python
Queen's University - Data Mining (CISC 873)
All accepted papers for the Multi-Objective Decision Making Workshop 2021.
Official implementation of PPSN'24 paper "Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints"
The cMIBACO implementation for lightly robust solutions in MOGenConVRP under uncertainty.
Discrete-world as the name says
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