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Cultural Algorithms = Recent Advances /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Cultural Algorithms/ by Shahin Jalili.
Reminder of title:
Recent Advances /
Author:
Jalili, Shahin.
Description:
XIII, 271 p. 76 illus., 35 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Mathematical and Computational Engineering Applications. -
Online resource:
https://doi.org/10.1007/978-981-19-4633-2
ISBN:
9789811946332
Cultural Algorithms = Recent Advances /
Jalili, Shahin.
Cultural Algorithms
Recent Advances /[electronic resource] :by Shahin Jalili. - 1st ed. 2022. - XIII, 271 p. 76 illus., 35 illus. in color.online resource. - Engineering Optimization: Methods and Applications,2731-4057. - Engineering Optimization: Methods and Applications,.
Introduction to Culture -- Introduction to optimization -- Cultural Algorithms (CAs) -- Applications of Engineering. .
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 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.
ISBN: 9789811946332
Standard No.: 10.1007/978-981-19-4633-2doiSubjects--Topical Terms:
1387767
Mathematical and Computational Engineering Applications.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Cultural Algorithms = Recent Advances /
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