Smart and Digital Cities: From Computational Intelligence to Applied Social Sciences
暫譯: 智慧與數位城市：從計算智能到應用社會科學

本書提供有關未來數位與智慧城市的最新資訊。特別是，它描述了有關計算智慧技術和去中心化技術的嶄新見解，涵蓋城市的各個面向和服務、城市治理以及社會科學。本書所涵蓋的主題從最先進的計算技術到當前有關無人機、區塊鏈、智能合約和加密貨幣的討論。

這些材料的理想化源於一群多元化作者的自由知識交流之旅，他們通過四個不同的活動（工作坊和特別會議）相遇，這些活動的目的是促進圍繞智慧城市的概念。

我們相信，本書包含了有關最先進應用和未來城市及社會理念的創新和精確資訊。這將對學術界、業界專業人士以及城市管理者都大有裨益。

Vitor Nazario Coelho is a researcher engaged in scientific and social causes. Technician in Electronic Instrumentation, Control and Automation Engineering, PhD degree in Electrical Engineering of Federal University of Minas Gerais. Doctor in Electrical Engineering, in the field of Computational Intelligence, by the Pós-Graduação em Engenharia Elétrica (PPGEE) the Universidade Federal de Minas Gerais (UFMG), finishing his PhD in 2 years, with 25 years old, without attending Master studies. During the PhD, Vitor did an exchange period at the University of Sheffield (England), in partnership with the Rolls Royce Technology Center in Control and Systems Engineering, and at ORT Braude College of Engineering (Israel), as a Marie Curie researcher for the European Commission as part of the Seventh Framework Program (FP7). Thesis awarded as the best one in the Engineering area in the year of 2016 of UFMG. Between 2016 and 2018, he was a Post-Doctorate researcher in partnership with the Universidade Federal Fluminense, supported by the outstanding program PDR-10/FAPERJ program. Currently, he acts as an autonomous developer, researcher, investor and partner of different projects.
Igor Machado Coelho received the B.S. in Computing from Federal University of Ouro Preto, Brazil, the M.S. and PhD degree in Algorithms and Optimization in 2015 at the Computing Institute of Fluminense Federal University, Niterói, Brazil. He is currently Adjunct Professor in Computer Science Department at State University of Rio de Janeiro. He is one of the creators and maintainer of the OptFrame project, a framework for combinatorial optimization and co-founder of distinct open-source projects and initiatives. His research interests include the resolution of challenging combinatorial optimization problems in fields of Vehicle Routing, Open-Pit Mining Operational Planning, Smart Grid, and the development of novel algorithms for emerging computing architectures.
Thays Aparecida de Oliveira received the B.S. in Business from Fedederal University of Ouro Preto, Brazil, the M.S. degree in Strategic Management, Marketing and Innovation in 2016 at the Federal University of Lavras, Brazil. Currently, she is as a PhD Candidate at the Department of Engineering and Information & Communication Technologies at Universitat Pompeu Fabra, Barcelona, Spain. Her research interests include citizens; works with population integration in urban centers, applying personal and web questionnaires; studies including consumer and citizens behavior. In the technological area, she is researching in the PhD relationships between citizens and digital cities, understanding citizens' necessities in the cities.
Luiz Satoru Ochi is full professor at the Universidade Federal Fluminense, Institute of Computer Science in Niteroi, Rio de Janeiro, Brazil. He obtained his B.Sc. in Mathematics and his PhD in Computing and Systems Engineering at COPPE in Federal University of Rio de Janeiro (UFRJ), Brazil. He was a visiting Professor at University of Colorado at Boulder - USA. He was the General Coordinator CAPES-COFECUB Project (Brazil & France), in Graphs and Algorithms, including UFF, UFRJ, University of Grenoble, from 1997-2000. He was Coordinator of the graduate course (Masters and PhD) in Computer Science at UFF. His is a Researcher 1C level with grant from the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tenológico - CNPq), Brazil. His research interests are MixedLinear Integer Programming, Operations Research, Metaheuristics, Computational Intelligence, Vehicle Routing Problem. He is the author of more than 290 research articles in chapter-books and specialized journals.

維托爾·納扎里奧·科埃略（Vitor Nazario Coelho）是一位從事科學和社會事業的研究者。他擁有電子儀器、控制與自動化工程的技術背景，並在米納斯吉拉斯聯邦大學獲得電氣工程博士學位。在米納斯吉拉斯聯邦大學（UFMG）的電氣工程研究生課程（Pós-Graduação em Engenharia Elétrica, PPGEE）中，他在計算智能領域獲得電氣工程博士學位，並在25歲時以兩年完成博士學位，未曾就讀碩士課程。在攻讀博士學位期間，維托爾曾在英國謝菲爾德大學進行交流，與羅爾斯·羅伊斯技術中心在控制與系統工程方面合作，並在以色列ORT布勞德工程學院作為歐洲委員會的瑪麗·居里研究員，參與第七框架計畫（FP7）。他的論文在2016年被評為UFMG工程領域最佳論文。2016年至2018年間，他與弗魯米嫩塞聯邦大學合作，擔任博士後研究員，並獲得PDR-10/FAPERJ計畫的支持。目前，他作為自主開發者、研究者、投資者及不同項目的合夥人活躍於各個領域。

伊戈爾·馬查多·科埃略（Igor Machado Coelho）於巴西烏魯普雷托聯邦大學獲得計算學士學位，並於2015年在巴西弗魯米嫩塞聯邦大學計算學院獲得算法與優化碩士及博士學位。他目前是里約熱內盧州立大學計算機科學系的副教授。他是OptFrame專案的創始人之一及維護者，這是一個用於組合優化的框架，並且是多個開源專案和倡議的共同創辦人。他的研究興趣包括解決在車輛路由、露天採礦作業規劃、智慧電網等領域的挑戰性組合優化問題，以及為新興計算架構開發新算法。

泰斯·阿帕雷西達·德·奧利維拉（Thays Aparecida de Oliveira）於巴西烏魯普雷托聯邦大學獲得商業學士學位，並於2016年在巴西拉夫拉斯聯邦大學獲得戰略管理、市場營銷與創新碩士學位。目前，她是西班牙巴塞隆納蓬佩烏法布拉大學工程與資訊與通信技術系的博士候選人。她的研究興趣包括市民；致力於城市中心的人口整合工作，應用個人和網路問卷；研究消費者和市民行為。在技術領域，她正在研究市民與數位城市之間的關係，了解市民在城市中的需求。

路易斯·佐藤·奧奇（Luiz Satoru Ochi）是巴西里約熱內盧弗魯米嫩塞聯邦大學計算機科學研究所的全職教授。他在巴西里約熱內盧聯邦大學（UFRJ）的COPPE獲得數學學士學位及計算與系統工程博士學位。他曾擔任美國科羅拉多大學博爾德分校的訪問教授。他是CAPES-COFECUB計畫（巴西與法國）中圖形與算法的總協調員，該計畫包括UFF、UFRJ和格勒諾布爾大學，時間為1997年至2000年。他曾擔任UFF計算機科學研究所的研究生課程（碩士及博士）的協調員。他是巴西國家科學與技術發展委員會（Conselho Nacional de Desenvolvimento Científico e Tenológico - CNPq）的一級研究員。他的研究興趣包括混合整數線性規劃、運籌學、元啟發式算法、計算智能及車輛路由問題。他在專業期刊和書籍章節中發表了超過290篇研究文章。