An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem

Sarra Zohra Ahmed Bacha, Fatima Benbouzid-Si Tayeb, Karima Benatchba. An Analysis of Effective Per-instance Tailored GAs for the Permutation Flowshop Scheduling Problem. In George A. Tsihrintzis, Carlos Toro 0001, Sebastián A. Ríos, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, Athens, Greece, 6-8 September 2023. Volume 225 of Procedia Computer Science, pages 3958-3966, Elsevier, 2023. [doi]

Abstract

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