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https://github.com/americocunhajr/harvesteropt

HarvesterOpt is a Matlab code to maximize the energy recovered by a bistable energy harvester.
https://github.com/americocunhajr/harvesteropt

computational-mechanics computational-physics dynamical-systems energy-harvesting nonconvex-optimization nonlinear-dynamics optimization structural-dynamics

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HarvesterOpt is a Matlab code to maximize the energy recovered by a bistable energy harvester.

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## Harvester Optimizer

**HarvesterOpt: Harvester Optimizer** is Matlab code designed to solve optimization problems aimed at maximizing the energy recovery of bistable piezo-magneto-elastic energy harvesting systems. This tool leverages the Cross-Entropy method to enhance the performance and efficiency of energy harvesters, making it a valuable asset for researchers and engineers in the field of energy harvesting.



**HarvesterOpt** is the optimization module of the package **STONEHENGE - Suite for Nonlinear Analysis of Energy Harvesting Systems**, which can be downloaded here.

### Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Usage](#usage)
- [Documentation](#documentation)
- [Videos](#videos)
- [Author](#author)
- [Citing HarvesterOpt](#citing-harvesteropt)
- [License](#license)
- [Institutional support](#institutional-support)
- [Funding](#funding)

### Overview
**HarvesterOpt** was developed to optimize the amount of energy recovered by a nonlinear bistable piezoelectric energy harvester. The underlying results are reported in the following publication:
- **A. Cunha Jr**, *Enhancing the performance of a bistable energy harvesting device via the cross-entropy method*, Nonlinear Dynamics, 103:137-155, 2021 DOI

Preprint available here.

### Features
- Optimizes energy recovery in bistable piezo-magneto-elastic energy harvesting systems
- Utilizes advanced optimization algorithms for maximum efficiency
- Supports customization of optimization parameters and constraints
- Includes visualization tools for simulation results
- Offers well-documented, easy-to-understand code
- Designed with an educational approach for intuitive use

### Usage
To get started with **HarvesterOpt**, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/americocunhajr/HarvesterOpt.git
```
2. Navigate to the code directory:
```bash
cd HarvesterOpt/HarvesterOpt-1.0
```
3. For direct search optimization, execute:
```bash
HarvesterOpt_DirectSearch
```
4. For cross-entropy optimization, execute:
```bash
HarvesterOpt_CrossEntropy
```

This package includes the following files:
* CrossEntropyOpt_Example.m. -- script with an one dimensional optimization with the CE method
* HarvesterOpt_DirectSearch.m -- script with a program to optimize the harveters via direct serach
* HarvesterOpt_CrossEntropy.m -- script with a program to optimize the harveters via CE method
* PiezoMagBeam_ObjFunc.m. -- function that defines the objetive function
* PiezoMagBeam_ObjFuncNoise.m -- function that defines the objetive function with noise
* PiezoMagBeam_RHS.m -- function that defines the harvester equations
* test01chaos.m -- function to compute the 0-1 test for chaos
* trandn.m -- function to draw samples from truncated distribution
* plot_ce_animation.m -- function to plot an animation with CE search for the optimum
* graph_contour_pnt.m -- function to plot a contourmap and a given point
* graph_binarymap.m -- function to plot a binary contourmap

### Documentation
The routines in **HarvesterOpt** are well-commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs.

### Videos
Animations illustrating the operation of the CE method can be seen on YouTube.

### Author
- Americo Cunha Jr

### Citing HarvesterOpt
If you use **HarvesterOpt** in your research, please cite the following publication:
- *A. Cunha Jr, Enhancing the performance of a bistable energy harvesting device via the cross-entropy method, Nonlinear Dynamics, 103:137-155, 2021 https://doi.org/10.1007/s11071-020-06109-0*

```
@article{CunhaJr2021p137,
author = {A. {Cunha~Jr}},
title = {Enhancing the performance of a bistable energy harvesting device via the cross-entropy method},
journal = {Nonlinear Dynamics},
year = {2021},
volume = {103},
pages = {137-155},
note = {https://doi.org/10.1007/s11071-020-06109-0},
}
```

### License
**HarvesterOpt** is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.

### Institutional support

### Funding