A Novel Metaheuristic Algorithm Inspired by the Flow of a Stream of Water

• José Cruz Muñoz-Esparza ^[1] ; José Enrique Jaime Leal ^[1]
  1. [1] Tecnológico Nacional de México

     Tecnológico Nacional de México

     México

     
• Localización: Afinidad: Revista de química teórica y aplicada, ISSN 0001-9704, Vol. 81, Nº. 604, 2024, págs. 309-319
• Idioma: inglés
• Títulos paralelos:
  • Un nou algorisme metaheurístic inspirat en el flux d’un corrent d’aigua
  • Un nuevo algoritmo metaheurístico inspirado en el flujo de una corriente de agua
• Enlaces
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• Resumen

  • Global optimization problems are ubiquitous across academic and scientific disciplines, presenting a persistent challenge to experts in each field. Coupled with it, real-life problems often involve discontinuities, multiple local optima, and indeterminacies, rendering deterministic optimization algorithms insufficient for finding global solutions. Stochastic global optimization algorithms are crucial to tackle and overcome these difficulties. Therefore, this paper proposes a new stochastic global optimization algorithm and compares its performance with other algorithms, such as Cuckoo Search and Differential Evolution, for solving benchmark problems. In turn, performance indexes are used to evaluate the algorithms based on computational effort and the solutions' quality, and the convergence of each algorithm is also compared.