Advances in Sine Cosine Algorithm: A comprehensive survey

Laith Abualigah, Ali Diabat

Research output: Contribution to journalArticlepeer-review


The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions. After providing an overview of the SCA algorithm, we survey a number of SCA variants and applications that have appeared in the literature. We then present the results of a series of computational experiments to validate the performance of the SCA against similar algorithms.

Original languageEnglish (US)
Pages (from-to)2567-2608
Number of pages42
JournalArtificial Intelligence Review
Issue number4
StatePublished - Apr 2021


  • Meta-heuristic optimization algorithms
  • Optimization problems
  • Population-based algorithms
  • Sine Cosine Algorithm

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence


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