An Enhanced Flower Pollination Algorithm for Power System Economic Load Dispatch
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-4039-1_8
Reference14 articles.
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2. Nguyen, T.-T., Wang, M.-J., Pan, J.-S., Dao, T.-K., Ngo, T.-G.: A load economic dispatch based on ion motion optimization algorithm. (2020). https://doi.org/10.1007/978-981-13-9710-3_12.
3. Sun, J., Palade, V., Wu, X.J., Fang, W., Wang, Z.: Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization. IEEE Trans. Ind. Informatics 10, 222–232 (2014). https://doi.org/10.1109/TII.2013.2267392
4. Nguyen, T.T., Pan, J.S., Dao, T.K.: An Improved flower pollination algorithm for optimizing layouts of nodes in wireless sensor network. IEEE Access 7, 75985–75998 (2019). https://doi.org/10.1109/ACCESS.2019.2921721
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