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Abstract <p>This paper proposes practical methods for improving performance when using an evolutionary algorithm in a volunteer computing environment. The analysis showed that the low stability of some nodes leads to a delay in the creation of a new generation. The paper will propose a way to overcome this problem by maintaining a stable resource.The problem of the inability to pre-estimate task durations is also discussed and methods for overcoming it are proposed.</p>

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Experience of Applying Volunteer Computing to Solve Scientific Problems Using an Evolutionary Algorithm

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • N. P. Khrapov,
  • A. R. Oganov,
  • M. G. Kostenko

摘要

Abstract

This paper proposes practical methods for improving performance when using an evolutionary algorithm in a volunteer computing environment. The analysis showed that the low stability of some nodes leads to a delay in the creation of a new generation. The paper will propose a way to overcome this problem by maintaining a stable resource.The problem of the inability to pre-estimate task durations is also discussed and methods for overcoming it are proposed.