TY - JOUR
T1 - A comprehensive survey on cultural algorithms
AU - Maheri, Alireza
AU - Jalili, Shahin
AU - Hosseinzadeh, Yousef
AU - Khani, Reza
AU - Miryahyavi, Mirreza
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
KW - Cultural algorithm
KW - evolutionary algorithm
KW - belief space
KW - cultural evolution
UR - http://www.scopus.com/inward/record.url?scp=85100655307&partnerID=8YFLogxK
U2 - 10.1016/j.swevo.2021.100846
DO - 10.1016/j.swevo.2021.100846
M3 - Article
AN - SCOPUS:85100655307
SN - 2210-6502
VL - 62
JO - Swarm and Evolutionary Computation
JF - Swarm and Evolutionary Computation
M1 - 100846
ER -