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)
Online
Available online
More options
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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