Evolutionary salp swarm algorithm with multi-search strategies and advanced memory mechanism for solving global optimization and complex engineering problems

Nature·Sep 30

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Researchers are exploring various optimization algorithms, including the evolutionary salp swarm algorithm, to solve complex engineering problems and global optimization issues. These algorithms are being applied to a range of fields, including cancer research, image segmentation, precision agriculture, and battery thermal management. The development of these optimization models and their applications in different areas is an ongoing area of research.

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Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm

Nature·Aug 13

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Nature·Nov 9

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Nature·Mar 27

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