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物联网服务构成基于改进的混青跳跃算法.

Zhengyi Tang1,2,3, Yongbing Wu1,3, Jinshui Wang1,2,3

  • 1School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, 350118, Fujian, China.

Heliyon
|April 8, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种改进的混青跳跃算法 (ISFLA),用于优化物联网 (IoT) 服务组成. ISFLA提高了搜索效率和精度,从而提高了物联网服务质量感知和运营效率.

关键词:
物联网服务物联网服务物联网.服务质量服务质量.服务组合 服务组合优化服务组合优化服务组合.混青跳跃算法 混青跳跃算法

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 物联网的物联网,就是物联网.

背景情况:

  • 物联网 (IoT) 提供了许多功能相似但服务质量 (QoS) 不同的服务.
  • 优化物联网服务构成对于满足各种客户需求和实现广泛应用至关重要.
  • 现有的算法,如混青跳跃算法 (SFLA) 和遗传算法 (GA),在搜索效率和物联网服务构成的优化精度方面面临挑战.

研究的目的:

  • 在物联网服务组合中增强对服务质量的认知.
  • 提出改进的混青跳跃算法 (ISFLA),解决现有方法的局限性.
  • 为了提高物联网服务组合优化的效率和精度.

主要方法:

  • 开发了一种改进的混合青跳跃算法 (ISFLA),集成混乱理论和逆向学习用于初始人口获取.
  • 使用欧几里德距离和高斯突变来优化群体内的个体,采用了人口分区.
  • 用两个策略的本地更新方法用于整个人口的演变.
  • 进行了模拟实验,以评估算法的性能在各种规模的物联网服务组成问题的算法.

主要成果:

  • 与SFLA,GA,ISFLA*,IGSFLA和SFLAGA相比,ISFLA表现出优越的健身价值.
  • 伊斯法拉实现了更好的组合解决方案,表明优化精度有所提高.
  • 该算法表现出更快的融合,更高的稳定性和更高的整体运营效率.

结论:

  • 拟议的ISFLA显著提高了物联网服务组合的优化.
  • ISFLA提供了一种更有效,更精确的方法来选择和组成物联网服务.
  • 这些发现表明ISFLA是一个有前途的智能算法,用于提高物联网服务质量和应用.