A comprehensive survey on cultural algorithms

Alireza Maheri, Shahin Jalili*, Yousef Hosseinzadeh, Reza Khani, Mirreza Miryahyavi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Cultural Algorithms (CAs) are evolutionary algorithms (EAs) inspired by the conceptual models of the human cultural evolution process. In contrast to the conventional EAs, which work only based on the population space, CAs employ an additional space, called belief space, to collect the information about the behaviour of individuals in the search space. Since the emergence of CAs, they have been successfully extended to solve a wide variety of problems in different branches of science and technology. In this paper, a comprehensive survey on the recent advances in CAs is presented. Literature survey reveals some interesting challenges and future research directions.

Original languageEnglish
Article number100846
Number of pages24
JournalSwarm and Evolutionary Computation
Volume62
Early online date28 Jan 2021
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Cultural algorithm
  • evolutionary algorithm
  • belief space
  • cultural evolution

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