Application of Multiple Population Genetic Algorithm in Optimizing Business Process

Author:

Mahammed Nadir,Bennabi Souad,Fahsi Mahmoud

Publisher

Springer International Publishing

Reference20 articles.

1. Adamo, G., Ghidini, C., Di Francescomarino, C.: What’s my process model composed of? A systematic literature review of meta-models in bpm. arXiv preprint arXiv:1910.05564 (2019)

2. Chassiakos, A., Rempis, G.: EA performance evaluation in project time-cost optimization. J. Soft Comput. Civ. Eng. 3(2), 16–29 (2019)

3. Chen, Y., Zhong, Y.: Automatic path-oriented test data generation using a multipopulation GA. In: 2008 Fourth International Conference on Natural Computation, vol. 1, pp. 566–570. IEEE (2008)

4. Coello, C.A.C., Lamont, G.B., Van Veldhuizen, D.A., et al.: EAs for Solving Multi-objective Problems, vol. 5. Springer, Cham (2007)

5. Comuzzi, M.: Ant-colony optimization for path recommendation in BP execution. J. Data Semant. 8(2), 113–128 (2019)

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