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- Title
CCEO: cultural cognitive evolution optimization algorithm.
- Authors
Zhou, Yongquan; Zhang, Shaoling; Luo, Qifang; Abdel-Baset, Mohamed
- Abstract
Cognitive behavior is an indispensable factor in the history of human evolution; through cognitive behavior, human development has evolved from the Stone Age to the present high-tech information era. By simulating the process of cultural evolution, a cultural algorithm can reflect the evolutionary process of society accurately, which can speed up the process of solving problems. In this paper, cognitive behavior evolution and a cultural algorithm are combined to form the cultural cognitive evolution optimization (CCEO) algorithm. A cultural algorithm with the double-layer structure of the belief space and population space is transformed into a three-layer evolution mechanism in a CCEO so that the belief space improves on the next layer of careful guidance of the evolutionary process. Twenty-three benchmark test functions and two engineering problems were used to test the CCEO algorithm, and the results demonstrate that the culture cognitive evolution algorithm has a high convergence speed and calculation precision.
- Subjects
SOCIAL evolution; PROCESS optimization; HUMAN evolution; STONE Age; EVOLUTIONARY computation
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2019, Vol 23, Issue 23, p12561
- ISSN
1432-7643
- Publication type
Article
- DOI
10.1007/s00500-019-03806-w