Metaheuristic Optimization Algorithms

Name: Metaheuristic Optimization Algorithms
SKU: 9780443139253
Price: 2329 SEK
Availability: InStock
Author: Laith Abualigah
ISBN: 9780443139253

Optimizers, Analysis, and Applications

Häftad, Engelska, 2024

AvLaith Abualigah

2 329 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. The book provides readers with a comprehensive overview of eighteen optimization algorithms to address this complex data, including Particle Swarm Optimization Algorithm, Arithmetic Optimization Algorithm, Whale Optimization Algorithm, and Marine Predators Algorithm, along with new and emerging methods such as Aquila Optimizer, Quantum Approximate Optimization Algorithm, Manta-Ray Foraging Optimization Algorithm, and Gradient Based Optimizer, among others. Each chapter includes an introduction to the modeling concepts used to create the algorithm that is followed by the mathematical and procedural structure of the algorithm, associated pseudocode, and real-world case studies.

World-renowned researchers and practitioners in Metaheuristics present the procedures and pseudocode for creating a wide range of optimization algorithms
Helps readers formulate and design the best optimization algorithms for their research goals through case studies in a variety of real-world applications
Helps readers understand the links between Metaheuristic algorithms and their application in Computational Intelligence, Machine Learning, and Deep Learning problems

Produktinformation

Utgivningsdatum2024-05-08
Mått191 x 235 x undefined mm
Vikt590 g
FormatHäftad
SpråkEngelska
Antal sidor250
FörlagElsevier Science
ISBN9780443139253

Tillhör följande kategorier

Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it

Dr. Laith Abualigah is an Associate Professor at Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Jordan. He is also a distinguished researcher at the School of Computer Science, Universiti Sains Malaysia. His main research interests focus on Arithmetic Optimization Algorithms (AOA), Bio-inspired Computing, Nature-inspired Computing, Swarm Intelligence, Artificial Intelligence, Meta-heuristic Modeling, as well as Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text Clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big Data, and Natural Language Processing. Dr. Abualigah currently serves as Associate Editor of the Journal of Cluster Computing (Springer), the Journal of Soft Computing (Springer), and Journal of King Saud University - Computer and Information Sciences (Elsevier).

1. Particle Swarm Optimization Algorithm: Analysis and Applications2. Social spider optimization algorithm: Analysis and Applications3. Animal Migration Optimization Algorithm: Analysis And Applications4. Cuckoo Search Algorithm: Analysis and Applications5. Teaching Learning Based Optimization Algorithm: Analysis and Applications6. Arithmetic Optimization Algorithm: Analysis and Applications7. Aquila Optimizer: Algorithm, Analysis, and Applications8. Whale Optimization Algorithm: Analysis and Applications9. Spider Monkey Optimization Algorithm: Analysis and Applications10. Marine Predators Algorithm: Analysis and Applications11. Quantum Approximate Optimization Algorithm: Analysis and Applications12. Crow Search Algorithm: Analysis and Applications13. Henry Gas Solubility Optimization Algorithm: Analysis and Applications14. Manta-Ray Foraging Optimization: Algorithm, Analysis, and Applications15. Moth-flame Optimization Algorithm: Analysis and Applications16. Gradient Based Optimizer: Analysis and Application of Berry Soft-ware Product17. Krill Herd (KH) Algorithm: Analysis and Applications18. Salp Swarm Algorithm: Optimization, Analysis, and Applications

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Metaheuristic Optimization Algorithms

Optimizers, Analysis, and Applications

Häftad, Engelska, 2024

AvLaith Abualigah

2 329 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

World-renowned researchers and practitioners in Metaheuristics present the procedures and pseudocode for creating a wide range of optimization algorithms
Helps readers formulate and design the best optimization algorithms for their research goals through case studies in a variety of real-world applications
Helps readers understand the links between Metaheuristic algorithms and their application in Computational Intelligence, Machine Learning, and Deep Learning problems

Produktinformation

Utgivningsdatum2024-05-08
Mått191 x 235 x undefined mm
Vikt590 g
FormatHäftad
SpråkEngelska
Antal sidor250
FörlagElsevier Science
ISBN9780443139253

Tillhör följande kategorier

Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it

1. Particle Swarm Optimization Algorithm: Analysis and Applications2. Social spider optimization algorithm: Analysis and Applications3. Animal Migration Optimization Algorithm: Analysis And Applications4. Cuckoo Search Algorithm: Analysis and Applications5. Teaching Learning Based Optimization Algorithm: Analysis and Applications6. Arithmetic Optimization Algorithm: Analysis and Applications7. Aquila Optimizer: Algorithm, Analysis, and Applications8. Whale Optimization Algorithm: Analysis and Applications9. Spider Monkey Optimization Algorithm: Analysis and Applications10. Marine Predators Algorithm: Analysis and Applications11. Quantum Approximate Optimization Algorithm: Analysis and Applications12. Crow Search Algorithm: Analysis and Applications13. Henry Gas Solubility Optimization Algorithm: Analysis and Applications14. Manta-Ray Foraging Optimization: Algorithm, Analysis, and Applications15. Moth-flame Optimization Algorithm: Analysis and Applications16. Gradient Based Optimizer: Analysis and Application of Berry Soft-ware Product17. Krill Herd (KH) Algorithm: Analysis and Applications18. Salp Swarm Algorithm: Optimization, Analysis, and Applications