Modeling, Simulation, and Optimization

Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-88956-6
Verlag: Springer

Buch, Englisch, 129 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 226 g

Reihe: EAI/Springer Innovations in Communication and Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Vasant, Pandian

Litvinchev, Igor

Marmolejo-Saucedo, José Antonio

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation

Inhaltsverzeichnis

Texture Synthesis and Design based on Elements Distribution Creation.- Selective Encryption using Natural Language Processing for Text data in Mobile Ad hoc Network.- A Novel Hybrid Artificial Bee Colony with Monarch Butterfly Optimization for Global Optimization Problems.- Domain Models Definition for Rule Generation Using Controlled Variability Management.- Hybridizing Bat Algorithm with Modified Pitch-Adjustment Operator for Numerical Optimization Problems.- Consolidation of Host-Based Mobility Management Protocols with Wireless Mesh Network.- Performance Evaluation of Hot Mix Asphalt Concrete by Using Polymeric Waste Polyethylene.- Evaluation of technical efficiency of thermal power units in Mexico Data Envelopment Analysis and Stochastic Frontiers.

Über Autor(innen)

Dr. Pandian Vasant Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS in Malaysia. He holds PhD (UNEM, Costa Rica) in Computational Intelligence, MSc (UMS, Malaysia, Engineering Mathematics) and BSc (2 Class Upper-Hons in Mathematics, UM, Malaysia) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Holistic Optimization, Innovative Computing and Applications. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters’ project, conference abstracts, edited books, keynote lecture and book chapters (184 publications indexed in SCOPUS). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier), awarded outstanding reviewer in the year 2015 for ASOC (Elsevier) journal and Top reviewer for Sentinels of Science: Computer Science (Oct. 2015 - Sept. 2016). He has 26 years of working experience at the various universities from 1989-2017. Currently he is Editor-in-Chief of IJCO, IJSIEC, IEM, IJEOE Associate Editor IJFSA, Editor of GJTO, member of American Mathematical Society, MERLIN, and NAVY Research Groups. 

Professor Igor Litvinchev  is a Professor at the Graduate Program in Systems Engineering (PISIS) of the Faculty of Mechanical and Electrical Engineering (FIME) at Nuevo Leon State University (UANL), Monterrey, Mexico and a Head of Department at Computing Center Russian Academy of Sciences (CCRAS), Moscow, Russia. He received his Doctor of Sciences Degree (Habilitation) in Systems Modeling and Optimization and a Ph.D. (Candidate of Sciences Degree) in Systems Theory and Operations Research, both from CCRAS. His research interests include Modeling, Optimization and Control ofLarge Scale Systems.  He is the co-founder of the 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. He is a member of Mexican Academy of Sciences and Russian Academy of Natural Sciences.

Professor 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 scienti?c 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.