A study on swarm intelligence optimizing neural networks for workload elasticity prediction

• This project is based on previous project of our group: https://github.com/chasebk/code_OCRO_MLNN
• The proposed model included:
  • ELM network
  • SLO/ISLO algorithm
  • SLO/ISLO + ELM network

How to read my repository

1. data:
   • app: include formatted data
   • benchmark: results of benchmark functions
2. utils: Helped functions such as IO, Draw, Math, Settings (for all model and parameters), Preprocessing...
3. paper: include 2 main folders:
   • results: forecasting results of all models (3 folders inside)
     • final: final forecasting results (runs on server)
     • stability: final stability results(runs on server)
4. model: (4 folders)
   • app: The code for application
     • hybrid_cfnn: MHA + CFNN
     • hybrid_elm: MHA + ELM
     • hybrid_flnn: MHA + FLNN
     • hybrid_mlp: MHA + MLP
     • mha:
   • draw_opposition: Draw the figure in opposition part in paper
   • benchmark.py: The code for benchmark function
   • COA.py: COA algorithm
   • SLO.py: SLO and ISLO algorithm

Contact

• If you want to know more about code, or want a pdf of both above paper, contact me: [email protected]

• Take a look at this repos, the simplify code using python (numpy) for all algorithms above. (without neural networks)

  • https://github.com/thieunguyen5991/metaheuristics

License