Scholarlink

Abstract <p>This article presents a novel optimization algorithm, JAYA-HCO (High-Cost Optimization), which combines the strengths of JAYA and SCA algorithms. By incorporating the update mechanism of SCA for global search and JAYA’s rapid search capability, JAYA-HCO improves the utilization of the population in JAYA algorithm and makes it more suitable for high-cost computing. Furthermore, JAYA-HCO uses sine functions to introduce mutations at appropriate times to expand the search space. Initially, a set of benchmark functions, including single and multi-modal functions, were used to compare JAYA-HCO with other algorithms in terms of mean value and computation speed. Then, a numerical example of optimizing the fiber orientation angle of laminated composite plates under unidirectional axial compression was conducted to demonstrate the effectiveness and reliability of the proposed algorithm. The objective was to maximize the critical buckling load of the laminated composite plate by adjusting the fiber orientation angle of each layer. The results show that JAYA-HCO algorithm can provide accurate and efficient optimization results, which are validated by comparison with other algorithms and finite element calculations.</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

Improving the JAYA Algorithm for High-Cost Computing Applications

  • 期刊论文

  • 发表日期：

    2025年4月1日

查看全文
  • Zhang Feng,
  • Chu Guangyuan,
  • Zhang Jiamu,
  • Jin Peng

摘要

Abstract

This article presents a novel optimization algorithm, JAYA-HCO (High-Cost Optimization), which combines the strengths of JAYA and SCA algorithms. By incorporating the update mechanism of SCA for global search and JAYA’s rapid search capability, JAYA-HCO improves the utilization of the population in JAYA algorithm and makes it more suitable for high-cost computing. Furthermore, JAYA-HCO uses sine functions to introduce mutations at appropriate times to expand the search space. Initially, a set of benchmark functions, including single and multi-modal functions, were used to compare JAYA-HCO with other algorithms in terms of mean value and computation speed. Then, a numerical example of optimizing the fiber orientation angle of laminated composite plates under unidirectional axial compression was conducted to demonstrate the effectiveness and reliability of the proposed algorithm. The objective was to maximize the critical buckling load of the laminated composite plate by adjusting the fiber orientation angle of each layer. The results show that JAYA-HCO algorithm can provide accurate and efficient optimization results, which are validated by comparison with other algorithms and finite element calculations.