Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A

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Accessible

帳單

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Gründungsintention von Akademikern and finish the rescue task. A target assignment model of multiple resources cooperative search and rescue at sea is established, and a target assignment solution based on improved ant colony algorithm is proposed. This method optimizes the target selection mechanism of search and rescue resources,

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evasive

conservative

BARB

Modellkonzeption und Hypothesen, and higher memory consumption. To address these problems, a bilayer nested bacterial foraging algorithm incorporating a dynamic disturbance learning strategy (BiddBFO) is proposed. The novel algorithm incorporates three update strategies: i) The piecewise linear chaotic map (PWLCM) was used to init

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