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

This book PDF is perfect for those who love Computers genre, written by Dash, Sujata and published by IGI Global which was released on 10 August 2017 with total hardcover pages 538. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Modeling Analysis and Application of Nature Inspired Metaheuristic Algorithms books below.

Handbook of Research on Modeling  Analysis  and Application of Nature Inspired Metaheuristic Algorithms
Author : Dash, Sujata
File Size : 45,8 Mb
Publisher : IGI Global
Language : English
Release Date : 10 August 2017
ISBN : 9781522528586
Pages : 538 pages
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Handbook of Research on Modeling Analysis and Application of Nature Inspired Metaheuristic Algorithms by Dash, Sujata Book PDF Summary

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.

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

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

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