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Viser: Comprehensive Metaheuristics - Algorithms and Applications

Comprehensive Metaheuristics, 1. udgave
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Comprehensive Metaheuristics Vital Source e-bog

Seyedali Mirjalili og Amir Gandomi
(2023)
Elsevier Science
1.984,00 kr.
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Comprehensive Metaheuristics - Algorithms and Applications

Comprehensive Metaheuristics

Algorithms and Applications
Seyedali Mirjalili og Amir Hossein Gandomi
(2023)
Sprog: Engelsk
Elsevier Science & Technology
2.096,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.

Detaljer om varen

  • 1. Udgave
  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: Elsevier Science (Januar 2023)
  • Forfattere: Seyedali Mirjalili og Amir Gandomi
  • ISBN: 9780323972673

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains.

The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.

  • Presented by world-renowned researchers and practitioners in metaheuristics
  • Includes techniques, algorithms, and applications based on real-world case studies
  • Presents the methodology for formulating optimization problems for metaheuristics
  • Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques
  • Features online complementary source code from the applications and algorithms
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Copy: højest -1 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • Paperback: 500 sider
  • Udgiver: Elsevier Science & Technology (Februar 2023)
  • Forfattere: Seyedali Mirjalili og Amir Hossein Gandomi
  • ISBN: 9780323917810

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains.

The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.

1. Chaos theory in metaheuristcs
2. A New Metaheuristic Approach for Solving Multi-Objective Optimization Problems
3. A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
4. Application of evolutionary computation techniques for developing optimal response actions against water distribution networks contamination
5. Metaheuristic Technique for Solving Fuzzy Nonlinear Equations
6. Meta-heuristics in Network Intrusion Detection
7. Meta-heuristics in text clustring
8. Application of Metaheuristic Algorithms for Optimal Design of Sewer Collection Systems
9. Meta-heuristics for optimization of structures
10. Meta-heuristics for solving wind turbine placement problem
11. Meta-heuristics in industrial development and its future perspective
12. Levy Flight and Chaos Theory Based Gravitational Search Algorithm for Greyscale Image Thresholding
13. Meta-heuristics for Optimal Feature Selection in High-Dimensional Datasets
14. The Optimal Deployment of Sensors for Leakage Detection in Water Distribution Systems using meta-heuristics
15. Meta-Heuristics Based Automatic Generation Controller In Interconnected Power Systems With Renewable Energy Sources
16. Swarm Intelligence based Route optimization in Mobile Ad-hoc Network
17. The promise of metaheuristic algorithms for efficient operation of a highly complex power system: a comparative assessment
18. Genome Sequencing: Applications of Meta-Heuristics in Bioinformatics
19. Meta-heuristics for training Neural Networks
20. Meta-heuristics for clustring problems
21. Bio Inspired Algorithms in the field of Antenna Array Optimization: Review
22. Foundations of Combinatorial Optimization, Heuristics, and Meta-heuristics
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