This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume.
- Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016;
- Includes research into soft computing and its application in engineering and technology;
- Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.
Über den Autor Pandian (Hrsg.) Vasant
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Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS in Malaysia. He holds PhD in Computational Intelligence, MSc (Engineering Mathematics) and BSc (Hons) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentations, special issues guest editor, and book chapters (154 publications indexed in SCOPUS). In 2009 and 2015, he was awarded top reviewer and outstanding reviewer for the journal Applied Soft Computing (Elsevier). He has 25 years of working experiences at the universities. Currently he is Editor-in-Chief of International Journal of Computing & Optimization, International Journal of Industrial Engineering & Management, International Journal of Swarm Intelligence & Evolutionary Computing, Editor of Global Journal Technology & Optimization, Editor of Cogent Engineering (WoS/SCOPUS) and Associate Editor of International Journal of Fuzzy Systems Applications (Scopus). Prof. Igor Litvinchev is a Professor in the Graduate Program in Systems Engineering (PISIS) and Faculty of Mechanical and Electrical Engineering (FIME) at Nuevo Leon State University (UANL), Monterrey, Mexico. He has a Doctor of Sciences (Habilitation) in Systems Modeling and Optimization from Computing Center Russian Academy of Sciences, Moscow, Russia and a Ph.D. (Candidate of Sciences Degree) in Systems Theory and Operations Research from Computing Center USSR Academy of Sciences, Moscow, Russia. He is the co-founder of Mexican Society of Operations Research and the Mexican Logistics and Supply Chain Association, is on numerous editorial boards, has been committee chair for dozens of conferences, has received many awards, and has contributed to several books. Jose Antonio Marmolejo is a Professor at Panamerican University, 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 received his Doctorate in Operations Research (Hons) at National Autonomous University of Mexico. At present, He has the third highest country-wide distinction granted by the Mexican National System of Research Scientists for scientifc merit (SNI Fellow, Level 1). 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 and book chapters.
