Constraint Handling in Metaheuristics and Applications

This book discusses the core and underlying principles and analysis of different constraint handling approaches for mathematical modeling and real-world problems, with an emphasis on developing generalized techniques for metaheuristics and applications. It covers original contributions and provides a comprehensive overview for scientists and students in optimization, AI, and computational intelligence.

Format: Paperback / softback
Length: 315 pages
Publication date: 14 April 2022
Publisher: Springer Verlag, Singapore

This comprehensive volume delves into the intricate principles and analytical frameworks underlying diverse constraint handling approaches. Its primary objective is to offer an enriched literature on mathematical modeling of test problems and real-world scenarios with constraints, while also fostering the development of advanced generalized constraint handling techniques. These techniques can be seamlessly integrated into suitable metaheuristics, resulting in robust and optimized solutions for the problems and applications at hand.

The book comprises original contributions aimed at advancing and discussing generalized constraint handling approaches and techniques for metaheuristics and the specific applications being addressed. It explores a wide range of novel, modified, and hybridized techniques, providing a deep understanding of the field. The chapters are designed to be accessible to scientists, undergraduate and graduate students from engineering and computer science streams, with a focus on maintaining a balance between conceptual and mathematical complexity.

Furthermore, the book offers a critical review of contemporary constraint handling approaches, shedding light on their strengths, limitations, and potential areas for further exploration. The insights and findings presented in this book can contribute to the growth of multidisciplinary research discussions, fostering collaboration and innovation in optimization, artificial intelligence (AI), and computational intelligence.

As a comprehensive reference, this book serves as a valuable resource for engineers, scientists, and students engaged in optimization, AI, and computational intelligence. It provides a thorough exploration of constraint handling principles, analytical frameworks, and practical applications, equipping readers with the knowledge and tools necessary to address complex optimization problems and achieve optimal solutions.

Weight: 534g
Dimension: 235 x 155 (mm)
ISBN-13: 9789813367128
Edition number: 1st ed. 2021