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Exploring Selection Strategies: A Comparative Study of Rank and Tournament Selection Methods in Offspring Music Rhythm Generation

  • Sudipta Chakrabarty,
  • Shreya Paul,
  • Urnisha Sarkar,
  • Md Ruhul Islam,
  • Hiren Kumar Deva Sarma

摘要

In this paper, we conduct a thorough comparison of Genetic Algorithm (GA) performance in the context of parent music rhythm selection to generate diverse offspring music rhythms. We explore two distinct techniques, Tournament Selection and Linear Rank Selection, analyzing key concepts such as Selection Intensity, Loss of Diversity, Selection Variance, Time Complexity, and Takeover time within the domain of Offspring Music Rhythm generation. Our primary objective is to provide a comprehensive assessment of these mechanisms based on their respective properties, aiming to establish a unified perspective on music rhythm parent selection. Additionally, we develop comparison measure software to facilitate this evaluation process and further insights into effective selection strategies for evolving musical compositions.