Effective Method of Implementing Constrained Optimization Problems Using Data Instances
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5837-5_29
Reference11 articles.
1. Paraskevopoulos, D.C., Panagiotis, G.L., Repoussis, P., Tarantilis, C.: Resource constrained routing and scheduling: review and research prospects. Eur. J. Oper. Res. 263(3), 737–754 (2017). https://doi.org/10.1016/j.ejor.2017.05.035
2. Kumar, K., Paulo Davim, J.: Optimization for Engineering Problems, First published 8 July 2019. ISTE Ltd. (2019). https://doi.org/10.1002/9781119644552
3. Sheth, P.D., Umbarkar, A.J.: Constrained optimization problems solving using evolutionary algorithms: a review. In: 2015 International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, India, pp. 1251–1257 (2015). https://doi.org/10.1109/CICN.2015.241
4. Rahimi, I., Gandomi, A.H., Chen, F., et al.: A review on constraint handling techniques for population-based algorithms: from single-objective to multi-objective optimization. Arch. Comput. Methods Eng. 30, 2181–2209 (2023). https://doi.org/10.1007/s11831-022-09859-9
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