This repository holds the experimental result data used in the book "An Introduction to Optimization Algorithms".
With this data, in conjunction with the R scripts in thomasWeise/aitoaEvaluate, you can generate most of the diagrams and charts in the book.
The results are provided as the raw log files packaged into tar.xz archives.
The following result data sets are available for the Job-Shop Scheduling (JSSP) Experiment:
| file | download size | size unpacked | description |
|---|---|---|---|
| rs.tar.xz | 2.4 MiB | 17.3 MiB | Random Sampling |
| hc.tar.xz | 27.4 MiB | 241.5 MiB | Hill Climber w/o Restarts |
| ea.tar.xz | 83.8 MiB | 680.2 MiB | Evolutionary Algorithm w/o Crossover |
| eac.tar.xz | 47.9 MiB | 360.0 MiB | Evolutionary Algorithm with Clearing |
| sa.tar.xz | 11.9 MiB | 96.3 MiB | Simulated Annealing |
| hc2.tar.xz | 7.2 MiB | 56.3 MiB | Hill Climber 2 w/o Restarts |
| ma.tar.xz | 17.9 MiB | 142.0 MiB | Memetic Algorithm based on hc2 |
| umda.tar.xz | 66.1 MiB | 543.4 MiB | UMDA-style Estimation of Distribution Algorithm |
| umdac.tar.xz | 29.3 MiB | 236.7 MiB | The UMDA with Clearing |
| humda.tar.xz | 30.8 MiB | 240.8 MiB | The UMDA hybridized with local search |
The book and this data set here are released under the Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY‑NC‑SA 4.0), see http://creativecommons.org/licenses/by-nc-sa/4.0/ for a summary.
The experiments have been conducted using the Java programs published in repository thomasWeise/aitoa-code, which is licensed under the MIT License.
Many of the graphics and diagrams in the book have been created based on the data published in this repository using the R scripts in thomasWeise/aitoaEvaluate, which are the MIT License, too.
If you have any questions or suggestions, please contact Prof. Dr. Thomas Weise of the Institute of Applied Optimization at Hefei University in Hefei, Anhui, China via email to tweise@hfuu.edu.cn with CC to tweise@ustc.edu.cn.