Modeling, Simulation and Optimization: Proceedings of CoMSO 2020

This book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. It disseminates various models of diverse systems and includes solutions to emerging challenges of scientific fields.

Format: Paperback / softback
Length: 802 pages
Publication date: 19 March 2022
Publisher: Springer Verlag, Singapore

This comprehensive book presents a collection of meticulously selected peer-reviewed papers that were presented at the prestigious International Conference on Modeling, Simulation, and Optimization, organized by the National Institute of Technology, Silchar, Assam, India, from August 3 to 5, 2020. Spanning a wide range of topics within the domains of modeling, simulation, and optimization, this publication encompasses computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, as well as modeling and simulation of energy systems and optimization.

The book serves as a valuable resource for researchers, scholars, and practitioners in various fields, providing a comprehensive overview of the latest advancements and innovative approaches in these areas. By disseminating a diverse range of models representing diverse systems, it offers insightful solutions to emerging challenges across diverse scientific domains.

The conference, held in the picturesque setting of Silchar, Assam, India, brought together experts from around the world to discuss and exchange ideas on cutting-edge research and applications in modeling, simulation, and optimization. The attendees, representing academia, industry, and government organizations, shared their expertise and experiences, fostering a collaborative environment that promoted knowledge sharing and intellectual growth.

The papers presented at the conference covered a wide spectrum of topics, ranging from theoretical developments to practical applications. Some of the key areas explored included computational fluid dynamics, optimization algorithms, machine learning, and simulation-based modeling of complex systems. The authors presented their research findings, discussed their methodologies, and highlighted the potential applications of their work in various industries, such as aerospace, energy, transportation, and healthcare.

One of the notable features of this book is its interdisciplinary nature, which reflects the growing importance of integrating different scientific disciplines to address complex problems. The papers presented showcased the seamless collaboration between researchers from fields such as mathematics, physics, computer science, engineering, and applied sciences, highlighting the potential for interdisciplinary research and innovation.

Another important aspect of the book is its emphasis on practical applications. The authors not only presented theoretical models and algorithms but also provided real-world case studies and examples that demonstrate the effectiveness of their approaches in solving practical problems. This practical orientation makes the book valuable not only for academic purposes but also for practitioners in industry who seek to apply modeling, simulation, and optimization techniques to improve their operations and achieve better outcomes.

In conclusion, this comprehensive book serves as a valuable resource for researchers, scholars, and practitioners in the fields of modeling, simulation, and optimization. It provides a platform for disseminating the latest research findings, fostering interdisciplinary collaboration, and promoting practical applications. By presenting a diverse range of models and solutions, it contributes to the advancement of knowledge and the development of innovative technologies that can have a significant impact on our world.

Weight: 1229g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811598319
Edition number: 1st ed. 2021