Bio4Res

Novel Bioinspired Optimization Techniques for Resilience and Sustainability

Software & Data

The Bio4Res project is commited to Open Science. Please find below links to our code repository, our general data repository, and to the current version of our data management plan.

Bio4Res GitHub Repository
BIO4RES CODE REPOSITORY AT GITHUB
BIO4RES REPOSITORY AT THE OPEN SCIENCE FRAMEWORK
BIO4RES DATA MANAGEMENT PLAN

A summary of the datasets and software bundles released to the community can be found below.

Software

  • derivative-free-optimization: A library of derivative-free optimization methods for numerical opitmization
  • ea: A flexible and expandable library for evolutionary algorithms
  • ea-model-byzantine: Evolutionary algorithms with Byzantine failures in fitness evaluation
  • ea-test-energy: Test functions and classes for experimenting with energy consumption
  • memetic-continuous: Memetic algorithms for continuous optimization
  • pedestrian-evacuation-optimization: Optimization of crowd evacuation in case of emergency
  • pedestrian-evacuation-simulator-cellular-automaton: Automaton for simulating evacuation of pedestrians
  • pedestrian-evacuation-simulator-cellular-automaton-animation2d: Animates in 2D a trace of an evacuation as simulated by a cellular automaton.
  • pedestrian-evacuation-simulator-cellular-automaton-trace: Classes for representing a trace of an evacuation as simulated by a cellular automaton.
  • pedestrian-evacuation-simulator-environment: Generic definition of a crowd environment for simulation purposes
  • statistics: A simple library providing descriptive statistics and pseudo randon generators.

Datasets

  • Instance dataset for the Pedestrian Evacuation Problem: Instances for the pedestrian evacuation problem, representing indoor spaces
  • Rundata in Byzantine environments: pre-processed results of the execution of an evolutionary algorithm (EA) in a byzantine environment