Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms by , IGI Global
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Author: ISBN: 9781522528593
Publisher: IGI Global Publication: August 10, 2017
Imprint: Engineering Science Reference Language: English
Author:
ISBN: 9781522528593
Publisher: IGI Global
Publication: August 10, 2017
Imprint: Engineering Science Reference
Language: English
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

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