Scholarlink

<p>It is significantly challenging for design engineers to optimize a truss structure's topology, size, and shape. The improvement problem is then modeled as a multiobjective problem with objectives such as minimizing the structure's weight and maximizing reliability. This paper proposes a robust quality-based multiobjective crayfish optimization algorithm (MOCOA). Six different truss designs are used to test the proposed algorithm. It reveals that in the context of consistency and precision, MOCOA is a better algorithm when compared with recent algorithms, such as MOALO, MOBA, MODA, NSGA-II, DEMO, MOWCA, and MOEA-D, overall Friedman rank. Results are reported as superior in Pareto front, hypervolume, generational distance, and spacing metric. The research paper's finding indicates that MOCOA generates suitable Pareto-optimal solutions possessing strong convergence properties with excellent spread. These findings establish a robust foundation for forthcoming research on the optimization of truss structures.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A multiobjective crayfish optimization algorithm for simultaneous topology, shape, and size optimization

  • 期刊论文

  • 发表日期：

    2025年10月8日

查看全文
  • Ghanshyam Tejani,
  • D. Adalja,
  • P. Patel,
  • Jangid,
  • Emre Çelik

摘要

It is significantly challenging for design engineers to optimize a truss structure's topology, size, and shape. The improvement problem is then modeled as a multiobjective problem with objectives such as minimizing the structure's weight and maximizing reliability. This paper proposes a robust quality-based multiobjective crayfish optimization algorithm (MOCOA). Six different truss designs are used to test the proposed algorithm. It reveals that in the context of consistency and precision, MOCOA is a better algorithm when compared with recent algorithms, such as MOALO, MOBA, MODA, NSGA-II, DEMO, MOWCA, and MOEA-D, overall Friedman rank. Results are reported as superior in Pareto front, hypervolume, generational distance, and spacing metric. The research paper's finding indicates that MOCOA generates suitable Pareto-optimal solutions possessing strong convergence properties with excellent spread. These findings establish a robust foundation for forthcoming research on the optimization of truss structures.

Graphical Abstract