Evolutionary multi-objective optimization platform

A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

SmarmLab: a versatile Matlab package for drone swarm simulation.

Code for IEEE Transactions: A Two-Layer Energy Management System for Microgrids With Hybrid Energy Storage Considering Degradation Costs.

r and matlab code, datasets, published papers for my phd study 2011-2015

The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the lea…

Robust regularized Extreme Learning Machine (ELM) for regression using Iteratively Reweighted Least Squares (IRLS).

Code of the paper：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection --[Knowledge-Based Systems 22]

A fast Kriging-assisted evolutionary algorithm based on incremental learning

A simulation to find the optimized sizes of microgrid components (PV and battery) constrained by a certain acceptable loss of load percentage and by budget. This simulation is written by Stefano Ma…

Matlab source code of the paper "D. Wu and X. Tan, Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization, IEEE Trans. on Fuzzy Systems, 28(6), pp. 1050-1061, 2020."

# Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive Prob…

Optimal control of hybrid electric vehicles with differential dynamic programming

An optimization algorithm inspired from bubble-net foraging of humpback whales.

Spatiotemporal Dynamics in Recurrent Spiking Neural Networks using Optimization-based Modelling for EEG signals

Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.

Code for "Hierarchy Ranking Method for Multimodal Multi-objective Problems with Local Pareto Fronts"

Animation of how Gradient Descent finds the local minimum. Demonstrate how learning rate and starting points affect Gradient Descent.

An Improved Two-Archive Algorithm for Many-Objective Optimization

Basic version of the micro-grid model to simulate technical and economic performance of micro-grids with demand-side management capabilities.

A novel optimizaiton algorithm proposed in 2012 by Wentsao Pan

Open source codes of "Spatio-Temporal Probabilistic Forecasting of Photovoltaic Power Based on Monotone Broad Learning System and Copula Theory"

Wind speed prediction using machine learning algorithms and time-series models

This algorithm consists of a power simulator for photovoltaic panels and a wind turbine. This simulator was developed using mathematical models based on the research article “Management of an islan…

Tool to design and optimize autonomous vehicle concepts.

Code that replicates the Bayesian Compressed Vector Autoregressive (BCVAR) model in Koop, G., Korobilis, D. and Pettenuzzo, D. (2019). “Bayesian Compressed Vector Autoregressions”, Journal of Econo…

hCNN: Hybrid Neural Network (Hybrid-NN), a MATLAB NN toolbox that supports complex valued data and insertion of Signal Processing Modules.

This project uses Bayesian Optimization to find the optimal hyperparameters for a fully-connected feed-forward neural network used to estimate the heating load on a building given eight different i…

This work develops a simple energy management algorithm for a residential hybrid system consisting of PV, battery storage, unreliable grid and a diesel generator.