Jalili S. Cultural Algorithms: Recent Advances

Springer, 2022. — 277 p. — (Engineering Optimization: Methods and Applications). — ISBN13: 9789811946325. — ISBN10: 9811946329.This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms (CAs) are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.According to the biocultural evolutionary theory, genes and culture are two interacting forms of inheritance, and overall human evolution can be viewed as the product of the changes in biological and cultural traits. Both genetic and cultural evolutionary processes include a form of information transmission. In genetic evolution, the genetic information embedded within the genes is vertically transmitted from parents to offspring. In cultural evolution, the cultural variants such as beliefs, habits, skills, traditions, and preferences, pass from one generation to the next and they can be changed or even replaced by new ones over time due to changes in the cultural environment. In comparison to genetic evolution, information transmission in cultural evolution is a much more complicated process. The information flow in cultural evolution includes both vertical and horizontal transmissions in which the cultural information is not only vertically inherited from parents to offspring, but also offspring have the opportunity to socially learn and acquire information from other members of the society.Foundations
Introduction to Stochastic Optimization.
Introduction to Culture.
Cultural Algorithms (CAs).
Application of Cultural Algorithms
Applications of Cultural Algorithms in Engineering.
Applications of Cultural Algorithms in Different Branches of Science.
Variants of Cultural Algorithms
Hybrid Schemes for Cultural Algorithms.
Extended Cultural Algorithms.
Multi-population Variants of Cultural Algorithms.
Application of Cultural Algorithms to Structural Optimization.
Appendix. MatLAB Code of CAs.