Multi-Objective Optimization System Designs and Their Applications

This book discusses multi-objective design methods for solving multi-objective optimization problems of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. It transforms MOPs into equivalent LMI-constrained MOPs and introduces reverse-order LMI-constrained multi-objective evolution algorithms using MATLAB®. The methods are based on rigorous theoretical results and have practical applications in control, signal processing, communication, and cyber-financial systems.

Format: Hardback
Length: 450 pages
Publication date: 05 December 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of multi-objective design methods, offering a powerful approach to solving complex multi-objective optimization problems (MOPs) encountered in linear/nonlinear dynamic systems subjected to intrinsic random fluctuation and external disturbance. By transforming multi-target MOPs into equivalent linear matrix inequality (LMI)-constrained MOPs, the book simplifies the problem-solving process. Moreover, it introduces robust reverse-order LMI-constrained multi-objective evolution algorithms, designed specifically for MATLAB®, to efficiently solve these LMI-constrained MOPs.

The foundation of these design methods is rooted in rigorous theoretical results, ensuring their reliability and validity. The book's applications are primarily focused on real-world engineering design examples, spanning a wide range of fields, including control design, signal processing, communication, and cyber-financial systems. Each chapter presents practical applications, accompanied by detailed case studies and illustrations, to demonstrate the practical significance and effectiveness of the proposed methodologies.

Designed with researchers and graduate students in electrical engineering, control design, and optimization in mind, this book provides a comprehensive and up-to-date exploration of multi-objective optimization techniques. It serves as a valuable resource for those seeking to advance their knowledge and expertise in this field, enabling them to address challenging optimization problems and make informed decisions in their respective research and professional endeavors.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032415642