https://github.com/wandmalfarbe/glowworm-swarm-optimization-java

A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose.
https://github.com/wandmalfarbe/glowworm-swarm-optimization-java

glow-worm glowworm-swarm-optimization java javafx metaheuristics nature-inspired-computation optimization-algorithms swarm-intelligence swarm-intelligence-algorithms visualization

Last synced: 4 months ago
JSON representation

A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose.

• Host: GitHub
• URL: https://github.com/wandmalfarbe/glowworm-swarm-optimization-java
• Owner: Wandmalfarbe
• License: bsd-3-clause
• Created: 2016-06-03T16:05:28.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2018-10-02T13:28:10.000Z (over 6 years ago)
• Last Synced: 2025-02-24T02:15:31.150Z (4 months ago)
• Topics: glow-worm, glowworm-swarm-optimization, java, javafx, metaheuristics, nature-inspired-computation, optimization-algorithms, swarm-intelligence, swarm-intelligence-algorithms, visualization
• Language: Java
• Homepage:
• Size: 34.1 MB
• Stars: 3
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        


# Glowworm Swarm Optimization Java

A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by Krishnanand N. Kaipa and Debasish Ghose for the capturing of multiple optima of multimodal functions.

![A preview of the Java application with the peaks function.](preview/gso-java-app-1.png)

This app was created as part of a seminar work and served as an aid to understand the glowworm swarm optimization. It is a simple visualization of the glowworm movement with the target function in the background. You can choose between several target functions from the paper:

- Peaks

- Rastrigin

- Circles

- Staircase

- Plateaus

- Sky Blue

- Equal Peaks

The parameters *population size*, *iterations*, and *the initial neighborhood range* can be set in the graphical interface. Further parameters, e.g. *the initial luciferin level*, *rho* or *gamma* can easily be adjusted in the program code. 

## Preview GIF

![An animated GIF of the GSO algorithm and the moving glowworms.](preview/animation-optim.gif)

![A preview of the Java application with the Hölder table function.](preview/gso-java-app-2.png)

## Credits

- This Program contains code from [CircleSkinner](https://github.com/tinevez/CircleSkinner/blob/master/src/main/java/net/imagej/circleskinner/util/ColorMap.java) made by [Jean-Yves Tinevez](https://github.com/tinevez).

- The GSO Algorithm was invented by Krishnanand N. Kaipa and Debasish Ghose.

## Known Bugs

1. The new calculated position of the glowworms from the iteration *t* should be applied at iteration *t+1* and not at the same iteration (see GSOAlgorithm.java, Lines 127 and 128).

## License & Credit

This project is open source licensed under the BSD 3-Clause License. Please see the [LICENSE file](LICENSE.md) for more information. 

If you use this app or the code in a presentation or lecture you could credit me like this:

```

Pascal Wagler (2017). "Glowworm Swarm Optimization Java" (https://github.com/Wandmalfarbe/Glowworm-Swarm-Optimization-Java)

```

Users of LaTeX are encouraged to cite with the following BibLaTeX entry:

```

@software{WaglerGlowwormSwarmOptimization2017,

  title = {Glowworm {{Swarm Optimization Java}}},

  url = {https://github.com/Wandmalfarbe/Glowworm-Swarm-Optimization-Java},

  abstract = {A Java implementation and visualization of the glowworm swarm optimization (GSO) algorithm invented by K.N. Krishnanand and Debasish Ghose.},

  author = {Wagler, Pascal},

  date = {2017-10-27}

}

```