Published June 11, 2024 | Version 1.0
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Many-Objective Self-adaptation under Model Uncertainty

Creators

  • 1. ROR icon Politecnico di Milano
  • 2. ROR icon Karlsruhe Institute of Technology
  • 3. ROR icon University of Bergamo

Description

This package contains the raw data as well as scripts used to carry out the empirical evaluation presented in the following paper:

"Many-Objective Self-adaptation under Model Uncertainty"

submitted to ACM Transactions on Autonomous and Adaptive Systems for possible publication. See README.md for further details.

Files

TAAS2024_replication_package.zip

Files (32.4 MB)

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