Complex Engineering Systems – Modeling and Optimization

Multi-Objective Analysis and Smart Manufacturing Applications

Satyvir Singh, Mukesh Kumar Awasthi

• Publisher: De Gruyter
• Year: 2026
• eBook ISBN: 9783111723594
• Topic: Mathematics
• Subtopic: Computer Science General
• Index: Mathematics

Complex Engineering Systems - Modeling and Optimization offers an in-depth exploration of the foundational principles, advanced methodologies, and interdisciplinary applications essential for understanding and managing intricate engineering systems. Spanning mathematical modeling, numerical simulation, optimization strategies, and AI-assisted techniques, the book presents a rich blend of theory and real-world problem-solving tools. This comprehensive volume is tailored for researchers, professionals, and graduate students engaged in engineering, applied mathematics, and computational sciences.

Covering diverse themes-from system-of-systems behavior and multiphysics modeling to nanofluid dynamics, fractional heat transfer, queuing theory, and machine learning integration - the chapters collectively emphasize the interplay between complexity, adaptability, and innovation. The contributors shed light on modern challenges like cryogenic flow analysis, pressure sensing in microfluidics, MHD flow behavior, and AI-driven predictive modeling.

Table of contents

• Title Page
• Copyright
• Contents
• Frontmatter
• Aim and Scope
• Contents
• Editors’ Biography
• List of Contributors
• Chapter 1 Introduction to Complex Engineering Systems
• Chapter 2 Mathematical Foundations for Modeling Complex Systems
• Chapter 3 Optimization Techniques for Engineering Systems
• Chapter 4 Multiphysics Modeling in Engineering
• Chapter 5 Robust Numerical Methods for Time-Delayed Semilinear Parabolic Problems with a Small Parameter Arising in Fluid Dynamics
• Chapter 6 Comparison of Various Weighted Residual Methods up to Three-Step Solution
• Chapter 7 Boundary Element Analysis for MHD Stokes Flow Through a Microchannel Exhibiting Surface Roughness
• Chapter 8 A Study of Approximation Techniques Used to Solve Queueing Models Arise in Optimizing Complex Engineering Systems
• Chapter 9 Influence of Fluid Pressure in MEMS-Based Microfluidic Device Application: A Review
• Chapter 10 The Xue Model-Based Quadratic Convective Flow Analysis of Radiative Trihybrid Nanofluid over Porous Plate Using Cattaneo-Christov Model
• Chapter 11 Numerical Investigation of Non-Darcy MHD Boundary Layer Nanofluids Flow Over a Nonlinear Stretching Surface
• Chapter 12 Multiphase Flow and Heat Transfer Analysis of Liquid Methane in Cryogenic Engine Feed Pipes
• Chapter 13 Advanced Heat Transfer Analysis: Numerical Methods and Fractional Calculus Approaches
• Chapter 14 Controlling the Discretized Complex System’s Dynamics with the Allee Effect
• Chapter 15 Machine Learning-Assisted Prediction of Thermo-diffusion and Diffusion-Thermo effects in a Jeffery-Hamel Flow
• Chapter 16 A Comprehensive Study of the Diverse Applicability of Computational Fluid Dynamics to Complex Systems
• Index
• Index