code_islo_elm's Introduction

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

data:
- app: include formatted data
- benchmark: results of benchmark functions
utils: Helped functions such as IO, Draw, Math, Settings (for all model and parameters), Preprocessing...
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)
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

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