{"product_id":"probabilitybased-multiobjective-optimization-for-material-selection-9789811933509","title":"Probability-Based Multi-objective Optimization for Material Selection","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe book provides a comprehensive introduction to probability-based multi-objective optimization for material selection, introducing a new concept of preferable probability and its applications. It combines experimental design methodologies with the new approach, addressing discretization treatments and providing insights into material performance utility with desirable value and robust assessment. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 147 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 13 August 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of probability-based multi-objective optimization, offering a systematic exploration of its fundamental principles and practical applications in material selection. The authors introduce a novel concept of preferable probability, along with its assessment and various treatments, which are groundbreaking in this field. By seamlessly integrating this approach with experimental design methodologies like response surface methodology, orthogonal experimental design, and uniform experimental design, the authors provide a comprehensive framework for understanding material performance utility. They also address the conditions of achieving desirable value and robust assessment, employing discretization techniques to handle complex integral evaluations.\u003cbr\u003e\u003cbr\u003eThe authors express their hope that this work will serve as a catalyst for attracting talent and contribute significantly to relevant fields, acting as a valuable paving stone for researchers and practitioners alike. This book is designed to serve as a textbook for postgraduate and advanced undergraduate students in material-related majors, providing them with a comprehensive understanding of the latest optimization techniques. Additionally, it serves as a valuable reference book for scientists and engineers engaged in the study of related fields, offering insights and practical applications of probability-based multi-objective optimization.\u003cbr\u003e\u003cbr\u003eIn summary, this book is a groundbreaking contribution to the field of material selection optimization, offering a comprehensive and practical approach that leverages probability-based multi-objective optimization techniques. It will be of great interest to students, researchers, and practitioners in the field, providing valuable insights and enabling them to make informed decisions in their respective domains.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 424g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789811933509\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Maosheng Zheng,Haipeng Teng,Jie Yu,Ying Cui,Yi Wang","offers":[{"title":"Hardback","offer_id":44280914215162,"sku":"9789811933509","price":75.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_a862b3c5-cd36-4ef2-955b-df142c3fb794.jpg?v=1686818219","url":"https:\/\/shulphink.com\/products\/probabilitybased-multiobjective-optimization-for-material-selection-9789811933509","provider":"Shulph Ink","version":"1.0","type":"link"}