Metaheuristics for Finding Multiple Solutions

This book presents the latest trends and developments in multimodal optimization and niching techniques, which are commonly referred to as "niching" methods. It highlights the latest developments in niching methods, including algorithmic improvements, representation, and visualization issues, as well as new research directions such as preference incorporation in decision making and new application areas. It is a valuable reference book for researchers and practitioners.

Format: Paperback / softback
Length: 315 pages
Publication date: 24 October 2022
Publisher: Springer Nature Switzerland AG

Multimodal optimization and niching techniques are essential tools for solving complex problems in various fields. While most existing optimization methods are designed to find a single global solution, many real-world problems are "multimodal," meaning multiple satisfactory solutions exist. Niching methods are a class of meta-heuristic algorithms that are specifically designed to address multimodal optimization problems. They induce a "niching" effect on the solution population, which helps to explore multiple optima simultaneously. Niching methods have been extensively studied in the EA community, with many classic examples such as crowding, fitness sharing, clearing, derating, restricted tournament selection, and speciation. However, applying these methods to real-world multimodal problems often encounters significant challenges. To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of its kind specifically on the topic of niching techniques. It will serve as a valuable reference book both for researchers and practitioners. Chapter 1 will help novice readers get an overview of the field, describing the development of niching methods and their applications.

Weight: 504g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030795559
Edition number: 1st ed. 2021