Innovative global optimization approaches have attracted many research scientists, decision makers, managers, executives, engineers, academicians, officers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world application problems.
The International Conference on Intelligent Computing and Optimization (ICO’2022) highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain and unpredictable real-world problems.
Workshops/Tutorial Proposals 10 February 2023
Full paper/ Posters/ Demos 19 February 2023
Acceptance Documentation 28 March 2023
Camera ready deadline 19 April 2023
All accepted and reviewed papers will be published by Springer and made available through Springer-Link Digital Library, one of the world's largest scientific libraries.
Please kindly contact us for more details at e-mail: firstname.lastname@example.org
The proceeding is submitted for inclusion to the leading indexing services: ERA, CPCI Web of Science, DBLP, Google Scholar, Clarivate Web of Science, Cross Ref, Scopus, as well as Springer Book Series. The accepted and reviewed papers of ICO 2022 will be published in the Springer Nature LNNS.
Best and high quality papers will be selected and reviewed by IPC in order to publish extended version of the paper in SCOPUS and WoS/ISI/ESCI journals
All fees will be collected in US dollars
(maximum 2 papers)
Optimization of Marine Diesel Engine Speed Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm
Professor Tien Anh Tran
Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam
Dr Tien Anh Tran is working as an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. He is also a Honorary Professor at School of Computing Science and Engineering, Galgotias University, India. He received B.Eng and M.Sc at Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He got Ph.D. Degree at Wuhan University of Technology, Wuhan City, People’s Republic of China in 2018. He is a Guest Editor for the reputation journals indexed in SCI/SCIE such as Environment, Development and Sustainability (SCIE, IF= 3.219), IET Intelligent Transport System (SCIE, IF = 2.496), International Journal of Distributed Sensor Networks (SCIE, IF = 1.640), Sustainable Computing: Informatics and Systems (SCIE, IF = 4.028). He was received the NEPTUNE prize for the outstanding researcher of Vietnam Maritime University in 2019. He is an IEEE Member of the Institute of Electrical and Electronics Engineers (USA), IMarEST member (UK). He is one of five excellent scientists to be nominated the Ta Quang Buu Prize in 2022 by the Ministry of Science and Technology in Vietnam. His main research interests include the marine engineering, control system engineering, optimization theories, maritime laws and policiesght is an easy-to-read font, with tall and narrow letters, that works well on almost every site.
Real-Time Optimization: Challenges for Digitizing Business Operations
Professor José Antonio Marmolejo Saucedo
National Autonomous University of Mexico, Mexico
JOSE A. MARMOLEJO SAUCEDO is a Professor at National Autonomous University of Mexico, Mexico. His research is on operations research, large-scale optimization techniques, computational techniques and analytical methods for planning, operations, and control of electric energy and logistic systems. He is particularly interested in topics related to artificial intelligence, digital twins, the Internet of things and Industry 4.0. He received his Doctorate in Operations Research (Hons) at National Autonomous University of Mexico. At present, He has the second highest country-wide distinction granted by the Mexican National System of Research Scientists for scientiﬁc merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems and Mexican Society for Operations Research. He has co-authored research articles in science citation index journals, conference proceedings, presentations, books, and book chapters.
Applications of Optimization in Locating Emergency Medical Service Facilities
Professor Sunarin Chanta
Department of Industrial Management, King Mongkut’s University of Technology North Bangkok, Thailand
Sunarin Chanta received her B.S. and M.S. degrees in Statistics from Kasetsart University, Thailand in 1999 and 2002. She received her B.S. and Ph.D. degrees in Industrial Engineering from Clemson University, USA in 2008 and 2011 with financial support from Royal Thai government scholarship. She is currently an associate professor in the Department of Industrial Management, Faculty of Industrial Technology and Management (FITM), King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand. Her research interests include applications of operations research in heathcare management, logistics, and railway management. Her research have been focused on optimization methods include mathematical programming, multi-objective optimization, metaheuristics, etc. She collaborates in serveral funded research projects include The development of an emergency medical service system by considering of survival rate, Decision support system for disaster prevention and mitigation task using GIS for Thailand’s Eastern Economic Corridor (EEC), and Optimal location of high – speed rail hubs based on demand. She received the best paper award from 2009 Industrial Engineering Research Conference,USA; the best paper award from 2013 Thai Value Chain Management and Logistics Conference, Thailand; the best paper award from 2018 International Conference on Intelligent Computing & Optimization, Thailand. She also received the outstanding researcher awards in years 2012 and 2013 from FITM, KMUTNB. Her research have been published in the international journals including Computers & Industrial Engineering, Annals of Operations Research, IIE Transactions on Healthcare System Engineering, etc. She has academic activities as a journal reviewer, conference session chair, and speaker in the field of industrial engineering and operations research.
Location Problems: An overview of models and applications
Professor Telmo Matos
Department of Computing Engineering, ISEP – IPP; Department of Industrial Engineering and Management, FEUP – UP; Center for Research and Innovation in Business Science and Information Systems, Portugal - CIICESI
Professor Telmo Matos received in 2006 his degree in Applied Mathematics and Technology from the Faculty of Sciences of the University of Porto and, in 2011, got his master’s in Computer Engineering from the School of Technology and Management of the Polytechnic Institute of Porto (ESTG). During this period, he worked on complex combinatorial optimization problems in several projects. His thesis, “RAMP for Facility Location Problems” involved the effective resolution of two known traditional facility location problems. After his master’s, he starts lecturing at ESTG and joined, in the same faculty, the Center for research and Innovation in Business Science and Information Systems (CIICECI) as a collaborator member. Following this, he joined the doctoral program in Engineering and Industrial Management from the Faculty of Engineering of the University of Porto (FEUP). In 2017, he got his PhD in Engineering and Industrial Management with the thesis entitled “RAMP for Capacitated Facility Location Problems” where he addressed and effectively solve several facility/hub location problems. He is currently a professor at ESTG and ISEP (bothy belonging to Polytechnic Institute of Porto - IPP), where has successfully supervised/co-supervised several students in the first degree. More recently has been invited to lecture in FEUP. He is an integrated researcher at CIICESI, continuing to work on the development of new approaches and methods for the decision-making process and currently has also been researching/exploring the field of data mining techniques. He has been contributing to several papers regarding location problems/data mining on different book series.
Data Mining In Sports: Recent Advances
Professor Iztok Fister, Jr.
Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia
Iztok Fister, Jr. received his B.Sc degree (2011), MEng (2013) degree in Computer Science and Ph.D (2017) degree from the Faculty of Electrical Engineering and Computer Science, University of Maribor. He also holds Master of Bioinformatics (2019) degree from the Faculty of Health Sciences, University of Maribor. In 2018, he has been habilitated to Assistant Professor. Since 2017, he has been a Teaching Assistant at the Institute of Informatics at Faculty of Electrical Engineering and Computer Science, University of Maribor. His areas of interest mainly include data mining, pervasive computing, optimization and sport science. Iztok published more than 120 research articles in referred journals, conferences and book chapters. Furthermore, he is a member of the editorial boards of 5 different international journals, and he has acted as a program committee member in more than 40 international conferences.
Biased random key genetic algorithms: A tutorial with applications
Professor Celso C. Ribeiro
Institute of Computing of Universidade Federal Fluminense, Brazil
Celso C. Ribeiro has a bachelor degree in Electrical Engineering (PUC-Rio, Brazil, 1976) and a M.Sc. degree in Systems Engineering (COPPE/UFRJ, Brazil, 1978). His main areas of research are Computer Science and Combinatorial Optimization, in particular metaheuristics, GRASP (greedy randomized adaptive search procedures), path relinking, genetic algorithms, parallel metaheuristics, network design, and sports scheduling optimization. He obtained a doctorate in Computer Science at Ecole Nationale Supérieure des Télécommunications (France, 1983) and the Habilitation (HDR) at Université Paris 13 (France, 1990). Celso Ribeiro chaired the Departments of Electrical Engineering (1983-1987) and Computer Science (1993-1995) of the Catholic University of Rio de Janeiro, Brazil. He has been in charge of graduate studies at the Institute of Computing of Universidade Federal Fluminense (2009-2017), Brazil, where he currently is a Full Professor. He also chaired the Department of Modernization Programs of the Brazilian Ministry of Education (2005-2007) and acted as Subsecretary of Education of the State of Rio de Janeiro (2007–2008), Brazil. He is a former President of the Brazilian Operations Research Society (SOBRAPO, 1989-1990), a former President of the Latin-American Association of Operations Research Societies (ALIO, 1992-1994), and a former Vice-President of the International Federation of Operational Research Societies (IFORS, 1998-2000). He coauthored the book “Optimization by GRASP: Greedy Randomized Adaptive Search Procedures”, published by Springer in 2016. He is the editor of ten books and the author of 22 book chapters and more than 100 articles in conference proceedings and 150 papers in international journals. He holds two US patents and he has supervised 32 doctorate dissertations and 39 master theses. Dr. Ribeiro is the General Editor of the journal International Transactions in Operational Research, as well as a member of the editorial board of several journals such as Discrete Optimization, Journal of Heuristics, and RAIRO Operations Research. He was also the Editor-in-Chief of the Journal of the Brazilian Computing Society (2014-2015). He is a member of the Brazilian Academy of Sciences. He was awarded the title of Doctor Honoris Causa by Universidad Nacional de San Agustin de Arequipa (Peru, 2010), as well as the Medal of the National Order of Scientific Merit (Brazil, 2018).
Promoting Operations Research through IFORS and APORS
Francis Z. Miranda
Vice President representing Asia Pacific
Francis is currently the Global Senior Head of Web Scraping Solutions, and Asia Pacific Quality and Data Science Director at GfK (www.gfk.com), a global analytics and AI company. He has 25 years of experience in operations research and data science holding various leadership positions including Operations Research Team Leader at Coca Cola Bottlers Philippines, Integrated Planning and Business Analytics Head at Zuellig Pharma, and Sub-Regional Data Science Director and Innovation Board Leader for South East Asia, North Asia and the Pacific at Nielsen. Francis is a frequent speaker in local and regional conferences on data analytics, data science and operations research. His main interests include supply chain optimization, mixed integer programming, and machine learning applications in the market research industry.
He has a BS degree in Industrial Engineering from De La Salle University-Manila, and a MS degree in Industrial Engineering from Purdue University. He completed the Advanced Management and Leadership Programme (OAMLP) at Oxford University in 2022.
He is the International Federation of Operational Research Societies (IFORS) Vice-President representing Asia Pacific. He is the Immediate Past President of the Association of Asia Pacific Operational Research Societies (APORS), and the Immediate Past President of the Operations Research Society of the Philippines (ORSP).
Optimization and Machine Learning in Retail Measurement
Francis Z. Miranda
Global Senior Head of Web Scraping Solutions, and Asia Pacific Quality and Data Science Director
The purpose of retail measurement is to measure product movement, market share, distribution, price and other market sensitive information across different channels and geographies. The speaker will first discuss how optimization and machine learning is used to achieve operational efficiency in each step of the value chain, starting from Universe study execution, to sample design and data collection, and data processing. Next, the speaker will discuss how these techniques can be used to measure retail sales more accurately, both in the offline and online channels, in the face of limited information. Finally, the speaker will talk about how clients and retailers use retail measurement analytics to drive business growth.
Digital Transformation in Health Systems: Challenges and Perspectives
Dr. Román Rodríguez Aguilar
Universidad Panamericana, Campus México
ROMAN RODRIGUEZ-AGUILAR is a professor in the School of Economic and Business Sciences of the “Universidad Panamericana” in Mexico. His research is on large-scale mathematical optimization, evolutionary computation, data science, statistical modeling, health economics, energy, competition, and market regulation. He is particularly interested in topics related to artificial intelligence, digital transformation, and Industry 4.0. He received his Ph.D. at the School of Economics at the National Polytechnic Institute, Mexico. He also has a master's degree in Engineering from the School of Engineering at the National University of Mexico (UNAM), a master's degree in Administration and Public Policy in the School of Government and Public Policy at Monterrey Institute of Technology and Higher Education, a postgraduate in applied statistics at the Research Institute in Applied Mathematics and Systems of the UNAM and his degree in Economics at the UNAM. Prior to joining Panamericana University, he has worked as a specialist in economics, statistics, simulation, finance, and optimization, occupying different management positions in various public entities such as the Ministry of Energy, Ministry of Finance, and Ministry of Health. At present, he has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientiﬁc merit (SNI Fellow, Level 2). He has co-authored research articles in science citation index journals, conference proceedings, presentations, and book chapters.
Intelligent Information System dealing with Soft Computing Techniques
Prof. Rolly Intan, Dr.Eng.
Department of Informatics Engineering
Petra Christian University, Surabaya, Indonesia
Prof. Rolly Intan, Dr.Eng. is currently a full professor in Informatics Department of Petra Christian University, Surabaya, Indonesia. He was the rector (president) of Petra Christian University from 2009 to 2017. His Doctor of Engineering degree was obtained in 2003 from Meiji University, Tokyo, Japan. He also received his doctor honoris causa in Business Administration from Dongseo University, Busan, South Korea. Prof. Rolly Intan has research interests in how to apply Computational Intelligence and Soft Computing methods especially Fuzzy Sets Theory, Rough Sets Theory and Granular Computing in constructing Intelligent Information System.
Digital Tourism Business Ecosystem: Trends and Future Demands
Associate Professor, School of Engineering,
Pokhara University, Nepal
Deepanjal Shrestha is an Associate Professor at the School of Engineering, . Currently, he is deputed as a Program Coordinator of MBA at the School of Business and heads the e-MIS department of the School. He was the project lead of the e-PoU Exam Management Software System; Digital Surveillance System and Management Information Management at Pokhara University. He has attained Ph.D. in Computer Science and Technology from Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interest includes Management information systems, Software engineering, Digital ecosystems, and Service engineering. He has published a good number of papers in SCIE, Scopus, EI, and KCI Indexed Journals and Indexed Conferences in the area of Computer Science and Information Systems. His current research involvement is in the design and implementation of a Digital Tourism Business Ecosystem for Nepal, which is a collaborative research project for Nepal Tourism.
Dr. Anirban BANIK
National Institute of Technology Sikkim
Dr. Ravindra Boojhawon
University of Mauritius
Prof. PhD. Gebrail Bekdaş
Assoc. Prof. PhD. Sinan Melih Nigdeli
Department of Civil Engineering,
Workshop / Tutorials
Rate Splitting Multiple Access (RSMA) for robust traffic networks
Dr. Vipin Balyan
Department of Electrical, Electronics and Computer Engineering,
Cape Peninsula University of Technology, Cape Town, South Africa
Vipin Balyan received B.E degree in Electronics & Communication with honors in 2003, M.Tech degree in Electronics & Networking from La Trobe University, Bundoora, Melbourne, Australia in 2006. He received Ph.D Degree in Efficient Single Code Assignment in OVSF based WCDMA Wireless Networks in 2013. He is currently working as a Senior Lecturer in Department of Electrical, Electronics and Computer Engineering of Cape Peninsula University of Technology, Bellville Campus, Cape Town, South Africa. His research area includes CDMA, OFDM, 5G, Visible light communication and Fuel Cells. He is a National Rated Research Foundation (NRF)-rated researcher, South Africa. He published more than 75 papers in repute Journals and Conferences. He received funding of more than 1 million Rand from Hydrogen South Africa.
Prof. Roman Rodriguez-Aguilar, Universidad Panamericana, Mexico
Prof. Elias Munapo, North West University, South Africa
Dr. Rustem Popa, Dunarea de Jos University, Romania
Dr. J. Joshua Thomas, UOW Malaysia KDU Penang University College, Malaysia
Dr. Pandian Vasant, MERLIN Research Centre, TDTU, Ho Chi Minh City, Vietnam
Prof. Gerhard Wilhelm Weber, Poznan University of Technology, Poland
Prof. Rustem Popa, “Dunarea de Jos” University in Galati, Romania
Prof. Igor Litvinchev, Nuevo Leon State University (UANL), Mexico
Prof. Jose Antonio Marmolejo, National Autonomous University of Mexico, Mexico
Prof. Celso da Cruz Carneiro Ribeiro, Universidade Federal Fluminense, Brazil
Prof. Rolly Intan, Petra Christian University, Indonesia
Dr. J. Joshua Thomas, UOW Malaysia KDU Penang University College, Malaysia
Prof. Jose Antonio Marmolejo-Saucedo, National Autonomous University of Mexico, Mexico
Prof. Ugo Fiore, Parthenope University of Naples, Italy
Prof. Igor Litvinchev, Nuevo Leon State University (UANL), Mexico
Special Session Chairs
Dr. Dang Trung Thanh, Thu Dau Mot University, Vietnam
Dr. Ronnie S Concepcion II, De La Salle University, Philippines
PhD Track Chair & Panel Chair
Dr. Vladimir Panchenko, Russian University of Transport, Russia
Dr. Mariusz Drabecki, Warsaw University of Technology, Poland
Publicity & Social Media Chairs
Dr. Kolentino Mpeta, North West University, South Africa
Dr. Deepanjal Shrestha, Pokhara University, Nepal
Posters & Demos Chairs
Dr. Jaramporn Hassamontr, King Mongkut University of Technology, Thailand
Dr. Tien Anh Tran, Seoul National University, South Korea
Workshop & Tutorial Chairs
Prof. Morikazu Nakamura, University of the Ryukyus, Japan
Dr. Martin Chanza, North West University, South Africa
Sponsorship & Exhibition Chairs
Dr. John Kwok Tai Chui, Hong Kong Metropolitan University, Hong Kong
Mr. K C Choo, CO2 Networks, Malaysia
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G Hua Hin Resort and Mall
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