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 - **<u>Vultures</u>**: Sur C, Sharma S, Shukla A (2013). "Egyptian Vulture Optimization Algorithm \textendash A New Nature Inspired Meta-heuristics for Knapsack Problem." In _The 9th International Conference on Computing and InformationTechnology (IC2IT2013)_, 227-237. Springer Berlin Heidelberg. doi:10.1007/978-3-642-37371-8_26 <https://doi.org/10.1007/978-3-642-37371-8_26>, <https://doi.org/10.1007/978-3-642-37371-8_26>.
 
 ### W
+- **<u>Walruses</u>**: Trojovský P, Dehghani M (2023). "A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior." _Scientific Reports_, *13*(1). ISSN 2045-2322, doi:10.1038/s41598-023-35863-5 <https://doi.org/10.1038/s41598-023-35863-5>, <http://dx.doi.org/10.1038/s41598-023-35863-5>.
 - **<u>Wasps</u>**: Pinto P, Runkler TA, Sousa JM (2005). "Wasp swarm optimization of logistic systems." In _Adaptive and Natural Computing Algorithms_, 264-267. Springer.
 - **<u>Water: Hydrological Cycle</u>**: Wedyan A, Whalley J, Narayanan A (2017). "Hydrological Cycle Algorithm for Continuous Optimization Problems." _Journal of Optimization_, *2017*, 1-25. doi:10.1155/2017/3828420 <https://doi.org/10.1155/2017/3828420>, <https://doi.org/10.1155/2017/3828420>.
 - **<u>Water: Intelligent Water Drops</u>**: Hosseini HS (2009). "The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm." _International Journal of Bio-Inspired Computation_, *1*(1/2), 71. doi:10.1504/ijbic.2009.022775 <https://doi.org/10.1504/ijbic.2009.022775>, <https://doi.org/10.1504/ijbic.2009.022775>.