Central Library

Normal view MARC view ISBD view

Discrete Problems in Nature Inspired Algorithms / by Anupam Prof. Shukla and Ritu Tiwari.

By: Shukla, Anupam Prof [author.].
Contributor(s): Tiwari, Ritu [author.] | Taylor and Francis.
Material type: materialTypeLabelBookPublisher: Boca Raton, FL : CRC Press, [2017]Copyright date: ©2018Edition: First edition.Description: 1 online resource (336 pages) : 153 illustrations, text file, PDF.Content type: text Media type: computer Carrier type: online resourceISBN: 9781351260886(e-book : PDF).Subject(s): TECHNOLOGY & ENGINEERING / Electronics / General | MATHEMATICS / Arithmetic | Nature-inspired algorithms | Biological systems -- Computer simulation | Mathematical optimization | Evolutionary computation | AlgorithmsGenre/Form: Electronic books.Additional physical formats: Print version: : No titleOnline resources: Click here to view Also available in print format.
Contents:
1. Introduction to Optimization Problems2. Particle Swarm Optimization3. Genetic Algorithms4. Ant Colony Optimization5. Bat Algorithm6. Cuckoo Search Algorithm7. Artificial Bee Colony8. Shuffled Frog Leap Algorithm9. Brain Storm Swarm Optimization Algorithm10. Intelligent Water Drop Algorithm11. Egyptian Vulture Algorithm12. Biogeography-Based Optimization13. Invasive Weed Optimization14. Glowworm Swarm Optimization15. Bacteria Foraging Optimization Algorithm16. Flower Pollination Algorithm.
Abstract: This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.
    average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

1. Introduction to Optimization Problems2. Particle Swarm Optimization3. Genetic Algorithms4. Ant Colony Optimization5. Bat Algorithm6. Cuckoo Search Algorithm7. Artificial Bee Colony8. Shuffled Frog Leap Algorithm9. Brain Storm Swarm Optimization Algorithm10. Intelligent Water Drop Algorithm11. Egyptian Vulture Algorithm12. Biogeography-Based Optimization13. Invasive Weed Optimization14. Glowworm Swarm Optimization15. Bacteria Foraging Optimization Algorithm16. Flower Pollination Algorithm.

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

Also available in print format.

There are no comments for this item.

Log in to your account to post a comment.