Middlesex University - London — Publications

Simulation-Driven Design Optimization and Modeling for Microwave Engineering

Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis. Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important. In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods. Readership: Graduates, lecturers, and researchers in electrical engineering, as well as engineers who use numerical optimization in their design work. This book will be of great interest to researchers in the fields of microwave engineering, antenna design, and computational electromagnetics.

Sławomir Kozieł, Xin-she Yang, Qi‐Jun Zhang 2012Book

Publications

Compact routing on internet-like graphs

A short discussion about “Economic optimization design of shell-and-tube heat exchangers by a cuckoo-search-algorithm”

A novel improved accelerated particle swarm optimization algorithm for global numerical optimization

Small‐world networks in geophysics

Associations of left renal vein entrapment with IgA nephropathy and glomerular galactose-deficient-IgA1 deposition

Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach

List of Contributors

Computational Optimization, Modelling and Simulation: Recent Trends and Challenges

Unlocking the potential of urinary mutation and methylation biomarkers: A game-changing approach to optimizing candidates of NMIBC for repeated TURBT: A prospective multicenter study

On the Hypercomplex-Based Search Spaces for Optimization Purposes

Simulation-Driven Design Optimization and Modeling for Microwave Engineering

Evolutionary intelligence techniques for humanized computing

Memetic firefly algorithm for combinatorial optimization

Solutions of Non-smooth Economic Dispatch Problems by Swarm Intelligence

Firefly Algorithms for Multimodal Optimization

Mathematical Analysis of Nature-Inspired Algorithms

Optimization in Civil Engineering and Metaheuristic Algorithms: A Review of State-of-the-Art Developments

A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems

Computational Optimization, Modelling and Simulation: Smart Algorithms and Better Models

Sensitivity analysis of sensor networks for distribution grids