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<div><p>This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA is to address the limitations of the tunicate swarm algorithm, which include slow optimization speed, low acc...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Guangwei Liu (181992) (author)
مؤلفون آخرون:	Zhiqing Guo (578396) (author), Wei Liu (20030) (author), Bo Cao (552407) (author), Senlin Chai (16819615) (author), Chunguang Wang (115065) (author)
منشور في:	2023
الموضوعات:	Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified wilcoxon &# 8217 rank sum test original random factor new tunicate individuals hyperbolic tangent domain escape extreme values cec2019 benchmark functions average running time thermal distribution map tunicate swarm algorithm novel hybrid algorithm nonlinear convergence factor algorithm &# 8217 swarm update mechanism experimental results demonstrate div >< p >< sub xmlns global exploration performance global exploration convergence performance strategy mechanism similar distribution proposed algorithm premature convergence improved algorithm fast convergence woa algorithms unknown parameters standard deviation primary objective position update paper proposes old parameters named multi low accuracy local exploitation effectively improves effectively enhance data generated complex problems c </ also ensure
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