ALICE Scheduling Framework

This repository is the C++ implementation of the ALICE framework described in the PhD thesis Ingimundardóttir, H. (2016). ALICE: Analysis & Learning Iterative Consecutive Executions (Doctoral dissertation).

The goal is to provide a modular library for building scheduling experiments, starting with Job-Shop Scheduling (JSP) and extending to other shop types later on.

The current focus is data ingestion + configuration so we can load benchmark instances and wire them to reusable scheduling components.

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Repository Structure

jsp/
+-- config/                # YAML configuration files
+-- data/                  # local sample JSP instances
+-- examples/              # small CLI examples
+-- include/               # public C++ headers
+-- src/                   # library sources
+-- CMakeLists.txt
+-- README.md

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Configuration

The library reads a YAML experiment file (currently config/experiment.yaml). The loader is intentionally small and strict, so the config keys should match this schema:

domain: jsp
features: [makespan, slack, wrm]
data:
  name: j.rnd.4x5
  generator: taillard
  instance_size: { jobs: 4, machines: 5 }
  instances: 1
  durationLB: 1
  durationUB: 99
  set: train 
  file: data/Raw/j.rnd.4x5.train.txt

Notes:

• domain is the scheduling family (for example jsp).
• features toggles the feature set by name. If omitted or empty, all features for the domain are enabled by default.
• file is optional; if omitted, the loader builds a filename from name or generator + instance_size.

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Build and Run (Example)

cmake -S . -B build
cmake --build build
./build/alice_jsp_inspect config/experiment.yaml

The example reads the config, locates the data file, and prints basic dataset info.

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Citation

If you use this repository, cite the thesis (TODO update to new publication):

Ingimundardóttir, H. (2016). ALICE: Analysis & Learning Iterative Consecutive Executions (Doctoral dissertation).