The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-77967-2_34
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2. Balande, U., Shrimankar, D.: A modified teaching learning metaheuristic algorithm with opposite-based learning for permutation flow-shop scheduling problem. Evol. Intell. 1–23 (2020). https://doi.org/10.1007/s12065-020-00487-5
3. Barbucha, D., Czarnowski, I., Jedrzejowicz, P., Ratajczak, E., Wierzbowska, I.: Jade-based a-team as a tool for implementing population-based algorithms. In: Sixth International Conference on Intelligent Systems Design and Applications, vol. 3, pp. 144–149 (2006). https://doi.org/10.1109/ISDA.2006.31
4. Belabid, J., Aqil, S., Allali, K.: Solving permutation flow shop scheduling problem with sequence-independent setup time. J. Appl. Math. 2020, 1–11 (2020). https://doi.org/10.1155/2020/7132469
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