Optimized model with NSGA-II in Python, tuning hyperparameters via genetic algorithms for efficient real-world crisis mapping.

(BSc Hons) Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems

Genetic Programming Framework that supports Multi-Objective Optimization

[ICONIP 2021] "Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions" by Tu Do, Ngoc Hoang Luong

Using Differential Evolution with the NSGA II algorithm to solve multi-objective optimization problems

Non-dominated Sorting Genetic Algorithm II implementation

Optimization-Simulation tool for Integrated Water Resource Management. Simulates & optimizes water allocation for irrigation, hydropower, and environmental flows using MOGA.

NSGA-II

Co-evolutionary framework pitting offensive and defensive AI agents against each other on a simulated corporate network using MITRE ATT&CK techniques and NSGA-II multi-objective optimization.

This is my academic project about implementing an epidemic model using optimization methods.

Multi-objective optimization problem using the NSGA-2 and surrogate modelling to speed up the process.

Implementation of NSGA-II Algorithm for the feature selection task

[NICS'21] "Improving Transferability of Multi-Objective Evolutionary Neural Architecture Search by Utilizing Multiple Datasets in Network Evaluations" by Tu Do and Ngoc Hoang Luong

Multi-Criteria Decision Making (MCDM) Framework for Building Energy Systems with Expedited Computation using Machine Learning (ML) Techniques

Coupled fleet, infrastructure and deployment optimization of heterogeneous van fleets with alternative drives (E-C-VRP-HF-TW)

This project uses the NSGA-II algorithm to optimize the placement of EV charging stations, considering factors like station locations, BESS capacity, and solar power efficiency.

A computational intelligence project to solve a multi-objective optimisation problem using the elitist non-dominated sorting genetic algorithm (NSGA-II)

A multi-objective optimization project using NSGA2

In this research project , startups financial performance metricspost external funding were explored focusing on optimization of strategic efficiency

AI-driven Casimir stiction-suppressing chiral Tellurium metamaterials — IEEE TNano + SERB CRG