Computational Intelligence Applied to Inverse Problems in Radiative Transfer
暫譯: 應用於輻射傳遞反問題的計算智慧

Name: Computational Intelligence Applied to Inverse Problems in Radiative Transfer
Price: 5197 TWD
Availability: OnlineOnly
Author: Silva Neto, Antônio José Da, Becceneri, José Carlos, Campos Velho, Haroldo Fraga de
ISBN: 303143546X

Silva Neto, Antônio José Da, Becceneri, José Carlos, Campos Velho, Haroldo Fraga de

出版商: Springer
出版日期: 2024-12-14
售價: $5,470
貴賓價: 9.5 折 $5,197
語言: 英文
頁數: 228
裝訂: Quality Paper - also called trade paper
ISBN: 303143546X
ISBN-13: 9783031435461

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商品描述

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-depth exploration of heuristic optimization methods, each meticulously described and accompanied by historical context and natural process analogies.
From simulated annealing and genetic algorithms to artificial neural networks, ant colony optimization, and particle swarms, this volume presents a wide range of heuristic methods. Additional approaches such as generalized extreme optimization, particle collision, differential evolution, Luus-Jaakola, and firefly algorithms are also discussed, providing a rich repertoire of tools for tackling challenging problems.
While the applications showcased primarily focus on radiative transfer, their potential extends to various domains, particularly nonlinear and large-scale problems where traditional deterministic methods fall short. With clear and comprehensive presentations, this book empowers readers to adapt each method to their specific needs. Furthermore, practical examples of classical optimization problems and application suggestions are included to enhance your understanding.
This book is suitable to any researcher or practitioner whose interests lie on optimization techniques based in artificial intelligence and bio-inspired algorithms, in fields like Applied Mathematics, Engineering, Computing, and cross-disciplinary areas.

商品描述(中文翻譯)

本書精心挑選了基於人工智慧的優化技術研究，應用於輻射傳輸中的反問題。在本書中，讀者將深入探索啟發式優化方法，每種方法都經過細緻描述，並附有歷史背景和自然過程的類比。

從模擬退火和遺傳演算法到人工神經網絡、蟻群優化和粒子群，這本書呈現了各種啟發式方法。還討論了其他方法，如廣義極值優化、粒子碰撞、差分演化、Luus-Jaakola 和螢火蟲演算法，提供了一系列豐富的工具來解決挑戰性問題。

雖然展示的應用主要集中在輻射傳輸上，但其潛力擴展到各個領域，特別是非線性和大規模問題，這些問題在傳統確定性方法中表現不佳。通過清晰且全面的介紹，本書使讀者能夠根據自己的特定需求調整每種方法。此外，還包括經典優化問題的實際範例和應用建議，以增強您的理解。

本書適合任何對基於人工智慧的優化技術和生物啟發演算法感興趣的研究者或從業者，涵蓋應用數學、工程、計算和跨學科領域等領域。

作者簡介

Antônio José da Silva Neto holds a bachelor's degree in Mechanical and Nuclear Engineering from the Federal University of Rio de Janeiro (1983), a master's degree in Nuclear Engineering from the same university (1989) and a PhD in Mechanical Engineering from North Carolina State University (1993). He worked for the Brazilian National Nuclear Energy Commission (1984-1986) and Promon Engenharia (1986-1997). In 1997 he joined the Polytechnic Institute of Rio de Janeiro State University, where he has been a professor since 2013. He is also the president (term 2014-2017) of the Brazilian Society for Applied and Computational Mathematics (SBMAC), and a former president (term 2009-2013) of the Brazilian Society of Mechanical Sciences and Engineering (ABCM). His research interests are in two main areas: mechanical engineering, with a focus on heat transfer, and applied and computational mathematics, with a focus on numerical methods and inverse problems.
José Carlos Becceneri has a bachelor's degree in Applied Mathematics from the University of São Paulo (1978) and a master's degree and a PhD in Electronic Engineering and Computer Sciences, both from the Technological Institute of Aeronautics (1984). He completed his post-doctoral studies at the University of Sheffield, UK (2000-2001), and from 2011 to 2012 he was Dean of Research and Post-graduate Studies at the National Institute for Space Research (INPE), Brazil. He was also a professor at the post-graduate program in Applied Computing at the Computing and Applied Mathematics Associate Laboratory of the INPE, focusing on projects involving software development and computational intelligence.
Haroldo Fraga de Campos Velho has a bachelor's degree in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (1983), and a master's degree (1988) and a PhD (1992) in Mechanical Engineering, with emphasis in Nuclear Reactor Physics and Computational Fluid Dynamics, respectively, both from the Federal University of Rio Grande do Sul. He worked for the Lindolfo Collor Institute for Economic Studies (1983-1985) and was a professor at the University of Caxias do Sul (1987-1988). He has been a researcher at the Computing and Applied Mathematics Laboratory of the National Institute for Space Research (INPE), Brazil, since 1988, and a full researcher since 2009. He was a visiting researcher at the Istituto di Cosmo-geofisica, Italy (1997), and did post-doctoral studies in Atmospheric Sciences at Colorado State University, USA. He is the president of the PanAmerican Association of Computational Interdisciplinary Sciences (term 2014-2016). His research focuses on inverse problems, data assimilation, numerical methods and artificial neural networks.

作者簡介(中文翻譯)

安東尼奧·何塞·達·席爾瓦·內托擁有里約熱內盧聯邦大學的機械與核工程學士學位（1983年）、同校的核工程碩士學位（1989年）以及北卡羅來納州立大學的機械工程博士學位（1993年）。他曾在巴西國家核能委員會工作（1984-1986年）以及在Promon Engenharia工作（1986-1997年）。1997年，他加入里約熱內盧州立大學的理工學院，自2013年以來擔任教授。他還是巴西應用與計算數學學會（SBMAC）的會長（任期2014-2017年），以及巴西機械科學與工程學會（ABCM）的前會長（任期2009-2013年）。他的研究興趣主要集中在兩個領域：機械工程，專注於熱傳遞，以及應用與計算數學，專注於數值方法和反問題。
何塞·卡洛斯·貝克內里擁有聖保羅大學的應用數學學士學位（1978年）以及來自航空技術學院的電子工程與計算機科學碩士和博士學位（1984年）。他在英國謝菲爾德大學完成了博士後研究（2000-2001年），並於2011年至2012年擔任巴西國家太空研究所（INPE）的研究與研究生學習院院長。他還曾是INPE計算與應用數學協同實驗室的應用計算研究生課程教授，專注於涉及軟體開發和計算智能的項目。
哈羅爾多·弗拉加·德·坎波斯·維爾霍擁有南大河州天主教大學的化學工程學士學位（1983年），以及來自南大河州聯邦大學的機械工程碩士學位（1988年）和博士學位（1992年），其研究重點分別為核反應堆物理和計算流體力學。他曾在林多爾福·科洛爾經濟研究所工作（1983-1985年），並在卡希亞斯杜蘇爾大學擔任教授（1987-1988年）。自1988年以來，他一直是巴西國家太空研究所（INPE）計算與應用數學實驗室的研究員，自2009年起成為全職研究員。他曾是意大利宇宙地球物理研究所的訪問研究員（1997年），並在美國科羅拉多州立大學進行大氣科學的博士後研究。他是泛美計算跨學科科學協會的會長（任期2014-2016年）。他的研究重點包括反問題、數據同化、數值方法和人工神經網絡。