Exploring critical approaches of evolutionary computation / Muhammad Sarfraz, editor.

Format:

Book

Contributor:

Sarfraz, Muhammad, editor.

Language:

English

Subjects (All):

Evolutionary computation.

Genre:

Libros electrónicos

Physical Description:

23 PDFs (xix, 390 pages)

Place of Publication:

Hershey, Pennsylvania Engineering Science Reference [2019]

System Details:

Mode of access: World Wide Web.

Summary:

"This book covers state-of-the-art interdisciplinary research on evolutionary computation and its applications. It covers topics such as chaos theory, data mining, data visualization, interactive computational models, neural computing, and image processing"-- Provided by publisher.

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.

Notes:

Includes bibliographical references and index.

Description based on title screen (IGI Global, viewed 06/20/2018).

ISBN:

9781522558330

OCLC:

1042280629