{"product_id":"9789819638482","title":"Engineering Optimization: Methods and Applications: A Meta-heuristics Perspective","description":"\u003ch1\u003eEngineering Optimization: Methods and Applications: A Meta-heuristics Perspective\u003c\/h1\u003e \u003ch2\u003eDas, Debashish; Sadiq, Ali Safaa; Mirjalili, Seyedali\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; color: #1f497d;\"\u003eThis book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, genetic algorithm, ant colony optimization, evolutionary strategy, population-based incremental learning, and grey wolf optimizer for training neural networks. Additionally, the book examines the challenges associated with these processes in detail. This volume will serve as a valuable reference for individuals in both academia and industry.\u003cstrong\u003e \u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-05-21\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819638482\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-96-3849-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 181\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":44809745465484,"sku":"9789819638482","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819638482.jpg?v=1775063763","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819638482","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}