Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications
Abualigah, Laith
- 出版商: Morgan Kaufmann
- 出版日期: 2024-05-08
- 售價: $6,300
- 貴賓價: 9.5 折 $5,985
- 語言: 英文
- 頁數: 250
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0443139253
- ISBN-13: 9780443139253
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相關分類:
Algorithms-data-structures
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相關主題
商品描述
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.
商品描述(中文翻譯)
《Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications》介紹了最新的優化演算法及其在各種科學和工程研究領域的應用。本書為讀者提供了十八種優化演算法的全面概述,以應對這些複雜的數據,包括粒子群優化演算法、算術優化演算法、鯨魚優化演算法和海洋掠食者演算法,以及新興的優化方法,如Aquila Optimizer、量子近似優化演算法、魔鬼魚覓食優化演算法和基於梯度的優化器等。每一章節都包括用於創建演算法的建模概念介紹,接著是演算法的數學和程序結構、相關的偽代碼以及實際案例研究。