Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications

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Laith Abualigah (Associate Professor, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Jordan)

Metaheuristic Optimization Algorithms

Optimizers, Analysis, and Applications

Laith Abualigah (Associate Professor, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Jordan)

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English

Morgan Kaufmann Publishers In
08 May 2024

Algorithms & data structures; Artificial intelligence

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.

Edited by: Laith Abualigah (Associate Professor Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Jordan)
Imprint: Morgan Kaufmann Publishers In
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 590g
ISBN: 9780443139253
ISBN 10: 0443139253
Pages: 250
Publication Date: 08 May 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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).