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- W3198208364 abstract "Abstract The weapon target assignment (WTA) problem is an important task to tactical arrangements in military commitment operations. It describes the optimal method to allocate defenses in opposition to threats in fighting situations. It is an NP-complete issue in which no accurate outcome for all conceivable situations is known. The time performance of created algorithms is a major challenge in modeling the WTA problem, which has only been lately considered in related papers. This article introduces a new algorithm called Swarm Urochordate Algorithm (SUA) which is inspired nature by tunicates to solve the WTA problem. The suggested method is compared to nine metaheuristic approaches recently established for 30 well-known testing benchmarks. Convergence and computer complexity are also examined. The experimental findings show that the method presented works better than previous competing metaheuristic approaches." @default.
- W3198208364 created "2021-09-13" @default.
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- W3198208364 date "2021-08-31" @default.
- W3198208364 modified "2023-10-01" @default.
- W3198208364 title "A Novel Swarm Urochordate Algorithm for Defensive Resource Assignment Problems" @default.
- W3198208364 doi "https://doi.org/10.21203/rs.3.rs-850853/v1" @default.
- W3198208364 hasPublicationYear "2021" @default.
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