Memetic Computation The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era /

• Main Authors: Gupta, Abhishek (Author, http://id.loc.gov/vocabulary/relators/aut), Ong, Yew-Soon (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Adaptation, Learning, and Optimization, 21
• Subjects: Computational intelligence.; Artificial intelligence.; Mathematical optimization.; Computational Intelligence.; Artificial Intelligence.; Optimization.

This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the...

Table of Contents:

• Introduction: Rise of Memetics in Computing
• Canonical Memetic Algorithms
• Data-Driven Adaptation in Memetic Algorithms
• The Memetic Automaton
• Sequential Knowledge Transfer across Problems
• Multitask Knowledge Transfer across Problems
• Future Direction: Meme Space Evolutions.