Exploring critical approaches of evolutionary computation

Responsibility: Muhammad Sarfraz, editor
Publication: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2019]
Physical description: 23 PDFs (xix, 390 pages)

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Available online

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Description

Creators/Contributors

Contributor: Sarfraz, Muhammad, editor.; IGI Global, publisher.

Contents/Summary

Bibliography

Includes bibliographical references and index

Contents

Chapter 1. Recent neuro-fuzzy approaches for feature selection and classification
Chapter 2. An approach to license plate recognition system using neural network
Chapter 3. Intuitionistic fuzzy time series forecasting based on dual hesitant fuzzy set for stock market: DHFS-based IFTS model for stock market
Chapter 4. Design and implementation of an intelligent traffic management system: a neural approach
Chapter 5. DNA fragment assembly using quantum-inspired genetic algorithm
Chapter 6. Effective prevention and reduction in the rate of accidents using internet of things and data analytics
Chapter 7. Nature-inspired algorithms for bi-criteria parallel machine scheduling
Chapter 8. Hybrid honey bees meta-heuristic for benchmark data classification
Chapter 9. Guided search-based multi-objective evolutionary algorithm for grid workflow scheduling
Chapter 10. An optimal configuration of sensitive parameters of PSO applied to textual clustering
Chapter 11. An improved hybridized evolutionary algorithm based on rules for local sequence alignment
Chapter 12. Bi-objective supply chain optimization with supplier selection
Chapter 13. Overview and optimized design for energy recovery patents applied to hydraulic systems
Chapter 14. Wireless robotics networks for search and rescue in underground mines: taxonomy and open issues
Chapter 15. Solving job scheduling problem in computational grid systems using a hybrid algorithm
Chapter 16. An enhanced clustering method for image segmentation

Publisher's summary

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. Exploring Critical Approaches of Evolutionary Computation is a vital scholarly publication that explores the latest developments, methods, approaches, and applications of evolutionary models in a variety of fields. It also emphasizes evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, genetic programming, and related fields such as swarm intelligence and other evolutionary computation techniques. Highlighting a range of pertinent topics such as neural networks, data mining, and data analytics, this book is designed for IT developers, IT theorists, computer engineers, researchers, practitioners, and upper-level students seeking current research on enhanced information exchange methods and practical aspects of computational systems.
(source: Nielsen Book Data)

Subjects

Subjects: Evolutionary computation.

Bibliographic information

Publication date: 2018
Access: Restricted to subscribers or individual electronic text purchasers
Note: Also available in print
Format: Mode of access: World Wide Web
ISBN: 9781522558323 hardcover; 9781522558330 ebook; 1522558330
DOI: 10.4018/978-1-5225-5832-3

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