Clocacits
:wrench: :honeybee: A set of classes implementing single- and multi-objective Particle Swarm Optimization techniques for Cloudlet scheduling and WSN Localization optimizations. This code is part of the thesis titled "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques", by Hussein S. Al-Olimat at UT.
Install / Use
/learn @halolimat/ClocacitsREADME
clocacits
Clocacits is a set of classes that implemented single- and multi-objective versions of Particle Swarm Optimization for Cloudlet scheduling in CloudSim and WSN Localization optimizations. This code is part of a thesis entitled "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques", by Hussein S. Al-Olimat, Submitted to the Graduate Faculty as partial fulfillment of the requirements for the Masters of Science Degree in Computer Science and Engineering at the University of Toledo
Licenses
This work is licensed under GPL-3.0 and CreativesForGood licenses. A copy of the first license can be found in this repository. The other license can be found over this link C4G License.
<p float="left"> <img src="https://upload.wikimedia.org/wikipedia/commons/9/93/GPLv3_Logo.svg" alt="GPLv3 Logo" width="60" /> <img src="https://github.com/halolimat/CreativesForGoodLicense/raw/master/CreativesForGoodLogo2.png" alt="CreativesForGood Logo" width="120" style="margin-left: 10px;" /> </p>Citing
If you do make use of clocacits or any of its components please cite the following publications:
Al-Olimat, Hussein S., Mansoor Alam, Robert Green, and Jong Kwan Lee. "Cloudlet scheduling with particle swarm optimization." In 2015 Fifth International Conference on Communication Systems and Network Technologies, pp. 991-995. IEEE, 2015.
Al-Olimat, Hussein S. "Optimizing cloudlet scheduling and wireless sensor localization using computational intelligence techniques." MSc Thesis., University of Toledo, 2014.
