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Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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增强的大猩猩部队优化器由海洋捕食者算法提供动力:全球优化和工程设计.

Mohamed H Hassan1, Salah Kamel1, Ali Wagdy Mohamed2

  • 1Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.

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|April 1, 2024
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概括
此摘要是机器生成的。

增强的大猩猩部队优化器 (EGTO) 通过整合海洋捕食者算法 (MPA) 原则来改进元启发式搜索,为复杂的优化问题提供卓越的性能和稳定性.

关键词:
CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年CEC2019年大猩猩部队优化器海洋捕食者算法 海洋捕食者算法团结情报团队的人群.

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科学领域:

  • 计算智能是一种计算智能.
  • 优化算法 优化算法
  • 超启发式计算 超启发式计算

背景情况:

  • 像大猩猩部队优化器 (GTO) 这样的现有的元启发算法在复杂的优化任务中难以实现融合准确性和稳定性.
  • 需要先进的优化技术来克服传统GTO的局限性.
  • 海洋捕食者算法 (MPA) 提供了关于增强搜索能力的见解.

研究的目的:

  • 为了引入一个增强的元启发算法,增强的大猩猩部队优化器 (EGTO).
  • 为了提高大猩猩部队优化器 (GTO) 的收精度和稳定性.
  • 在优化问题中有效平衡勘探和开发阶段.

主要方法:

  • 通过将海洋捕食者算法 (MPA) 的高和低速度比率集成到大猩猩部队优化器 (GTO) 中,开发了增强的大猩猩部队优化器 (EGTO).
  • 根据CEC2019基准套件中的23个标准基准函数和10个复杂函数对EGTO进行了评估.
  • 在七个工程设计问题上测试了EGTO:三条结构,压缩弹,压力容器,悬臂梁,杆梁,减速器和轮列车设计.

主要成果:

  • 与已建立的算法相比,EGTO表现出卓越的性能,包括金枪鱼群优化,灰狼优化器,梯度基于优化器,人工子优化算法,子优化算法和原始GTO.
  • 该算法实现了强大的融合率,并在各种测试函数中有效地定位了本地/全球最佳值.
  • EGTO在解决复杂的工程设计问题方面表现出显著的有效性.

结论:

  • 增强的大猩猩部队优化器 (EGTO) 为复杂的优化提供了强大而高效的元启发方法.
  • 埃格托有效地平衡了勘探和开采,使用较少的参数和操作.
  • 拟议的EGTO算法在基准测试和工程应用中都优于现有方法.