Chernobyl Disaster Optimizer (CDO)

Chernobyl Disaster Optimizer (CDO)
260 Downloads
Aktualisiert 3. Feb 2023
A novel meta-heuristic optimization method, namely “Chernobyl Disaster Optimizer (CDO)” is proposed. The underlying concepts and principles behind the proposed approach is inspired by the nuclear reactor core explosion of Chernobyl. In CDO, radioactivity happened because of nuclear instability, which different types of radiations are emitted from nuclei. The most common kinds of these radiations are called gamma, beta, and alpha particles. These particles fly away from the explosion point (high pressure point) to the low pressure point (the human standing point), which are harmful to the humans. The CDO mimics the process of nuclear radiation while attaching human after the nuclear explosion. The main steps of nuclear explosion and attaching human are implemented in which gamma, beta, and alpha particles are involved in this process.
Another Algorithms are in the following links:

Zitieren als

hisham shehadeh (2024). Chernobyl Disaster Optimizer (CDO) (https://github.com/sh7adeh1990/CDO/releases/tag/v1.0.0.0), GitHub. Abgerufen .

Shehadeh, H.A. Chernobyl disaster optimizer (CDO): a novel meta-heuristic method for global optimization. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08261-1

Kompatibilität der MATLAB-Version
Erstellt mit R2022b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Tags Tags hinzufügen

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Veröffentlicht Versionshinweise
1.0.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.