Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms /

This book provides the reader with a broad coverage of the concepts, themes and instrumentalities of this important and evolving area of optimization. In doing so, the editors hope to encourage an even wider adoption of metaheuristic methods for assisting in problem solving, and to stimulate researc...

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Dash, Sujata (Editor); Tripathy, B. K., 1957- (Editor)
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: [2017]
©2018
Literature type: eBook
Language: English
Subjects:
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2857-9
Summary: This book provides the reader with a broad coverage of the concepts, themes and instrumentalities of this important and evolving area of optimization. In doing so, the editors hope to encourage an even wider adoption of metaheuristic methods for assisting in problem solving, and to stimulate research that may lead to additional innovations in metaheuristic procedures.
Carrier Form: 30 PDFs (xxix, 538 pages)
Bibliography: Includes bibliographical references and index.
ISBN: 9781522528586
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: QA76
CLC: TP18-532
Contents: Chapter 1. Metaheuristic-based hybrid feature selection models -- Chapter 2. Swarm-based nature-inspired metaheuristics for neural network optimization -- Chapter 3. A novel hybrid model using RBF and PSO for net asset value prediction -- Chapter 4. Memetic algorithms and their applications in computer science -- Chapter 5. A new data hiding scheme combining genetic algorithm and artificial neural network -- Chapter 6. A statistical scrutiny of three prominent machine-learning techniques to forecast machining performance parameters of inconel 690 -- Chapter 7. Insights into simulated annealing -- Chapter 8. Automatic test data generation using bio-inspired algorithms: a travelogue -- Chapter 9. Development of an efficient prediction model based on a nature-inspired technique for new products: a case of industries from the manufacturing sector -- Chapter 10. Applications of hybrid intelligent systems in adaptive communication -- Chapter 11. DE-based RBFNs for classification with special attention to noise removal and irrelevant features -- Chapter 12. Competency mapping in academic environment: a swarm intelligence approach -- Chapter 13. An overview of the last advances and applications of greedy randomized adaptive search procedure -- Chapter 14. Defect detection of fabrics by grey-level co-occurrence matrix and artificial neural network -- Chapter 15. A holistic-based multi-criterion decision-making approach for solving engineering sciences problem under imprecise environment -- Chapter 16. A comprehensive review of nature-inspired algorithms for feature selection -- Chapter 17. Nature-inspired-algorithms-based cellular location management: scope and applications -- Chapter 18. Fuzziness in ant colony optimization and their applications -- Chapter 19. Application of natured-inspired technique to Odia handwritten numeral recognition -- Chapter 20. Intelligent technique to identify epilepsy using fuzzy firefly system for brain signal processing -- Chapter 21. Analysis and implementation of artificial bee colony optimization in constrained optimization problems -- Chapter 22. Escalation of prediction accuracy with virtual data: a case study on financial time series -- Chapter 23. Determination of spatial variability of rock depth of Chennai.