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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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2017]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| 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. |
| Physical Description: | 30 PDFs (xxix, 538 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522528586 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
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| 264 | 4 | |c c2018 | |
| 300 | |a 30 PDFs (xxix, 538 Seiten) | ||
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| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | |a 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. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 08/15/2017). | |
| 650 | 0 | |a Engineering mathematics |v Handbooks, manuals, etc. | |
| 650 | 0 | |a Heuristic algorithms |v Handbooks, manuals, etc. | |
| 650 | 0 | |a Natural computation |v Handbooks, manuals, etc. | |
| 650 | 0 | |a Science |x Mathematics |v Handbooks, manuals, etc. | |
| 653 | |a Artificial immune systems. | ||
| 653 | |a Cellular Automata. | ||
| 653 | |a Differential Evolution. | ||
| 653 | |a Evolutionary Algorithm. | ||
| 653 | |a Genetic Programming. | ||
| 653 | |a Memetic algorithms. | ||
| 653 | |a Particle Swarm Optimization. | ||
| 653 | |a Simulated Annealing. | ||
| 653 | |a Support Vector Machines. | ||
| 700 | 1 | |a Dash, Sujata |e editor. | |
| 700 | 1 | |a Tripathy, B. K. |d 1957- |e editor. | |
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| 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. |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms Sujata Dash, B.K. Tripathy, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2017] c2018 30 PDFs (xxix, 538 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. 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. Restricted to subscribers or individual electronic text purchasers. 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/15/2017). Engineering mathematics Handbooks, manuals, etc. Heuristic algorithms Handbooks, manuals, etc. Natural computation Handbooks, manuals, etc. Science Mathematics Handbooks, manuals, etc. Artificial immune systems. Cellular Automata. Differential Evolution. Evolutionary Algorithm. Genetic Programming. Memetic algorithms. Particle Swarm Optimization. Simulated Annealing. Support Vector Machines. Dash, Sujata editor. Tripathy, B. K. 1957- editor. IGI Global, publisher. Print version: 1522528571 9781522528579 |
| spellingShingle | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms 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. Engineering mathematics Handbooks, manuals, etc. Heuristic algorithms Handbooks, manuals, etc. Natural computation Handbooks, manuals, etc. Science Mathematics Handbooks, manuals, etc. |
| title | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms |
| title_auth | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms |
| title_exact_search | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms |
| title_full | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms Sujata Dash, B.K. Tripathy, editors. |
| title_fullStr | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms Sujata Dash, B.K. Tripathy, editors. |
| title_full_unstemmed | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms Sujata Dash, B.K. Tripathy, editors. |
| title_short | Handbook of research on modeling, analysis, and application of nature-inspired metaheuristic algorithms |
| title_sort | handbook of research on modeling analysis and application of nature inspired metaheuristic algorithms |
| topic | Engineering mathematics Handbooks, manuals, etc. Heuristic algorithms Handbooks, manuals, etc. Natural computation Handbooks, manuals, etc. Science Mathematics Handbooks, manuals, etc. |
| topic_facet | Engineering mathematics Handbooks, manuals, etc. Heuristic algorithms Handbooks, manuals, etc. Natural computation Handbooks, manuals, etc. Science Mathematics Handbooks, manuals, etc. |
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