Machine learningSwarm Intelligence
水母搜索优化器
水母搜索优化器（JSO）是由Shi等人于2022年提出的一种受生物启发的元启发式算法，其灵感来源于水母在海洋环境中的运动和觅食行为。水母表现出两种截然不同的行为：随洋流被动漂移（探索）和主动游向食物源（开发）。JSO捕捉了这些行为，以在全局搜索和局部精炼之间取得有效的平衡。
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来源
- Shi, X., Sun, Y., Zhan, Z. H., Yuen, K. F., & Zhang, J. (2022). Jellyfish search optimizer: A new bio-inspired metaheuristic algorithm for solving optimization tasks. Neural Computing and Applications, 34(10), 7651-7673. link ↗
如何引用本页
ScholarGate. (2026, June 3). Jellyfish Search Optimizer. ScholarGate. https://scholargate.app/zh/optimization/jellyfish-search-optimizer
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