Learning and Intelligent Optimization: 15th International Conference, LION 15, Athens, Greece, June 20-25, 2021, Revised Selected Papers

This book presents refereed post-conference proceedings from LION 15, focusing on learning and intelligent optimization techniques for improving algorithm performance. It includes 30 full papers selected from 35 submissions, covering online and offline mining, combinations of algorithms, and robustness enhancement.

Format: Paperback / softback
Length: 410 pages
Publication date: 09 December 2021
Publisher: Springer Nature Switzerland AG

This book serves as a valuable resource for researchers, practitioners, and students interested in the field of learning and intelligent optimization, particularly in the areas of machine learning, data mining, and optimization algorithms.
The 30 full papers presented at the Learning and Intelligent Optimization (LION) 15 conference, held in Athens, Greece, in June 2021, have been meticulously reviewed and chosen from a total of 35 submissions. LION focuses on developing and engineering methods for learning about the performance of various techniques and utilizing past experience to improve algorithm behavior in the future. Intelligent learning schemes for mining online or offline knowledge can enhance the algorithm design process and simplify the application of high-performance optimization methods. Combining different algorithms can further improve the robustness and performance of individual components.

This book is an invaluable resource for researchers, practitioners, and students interested in the field of learning and intelligent optimization, particularly in machine learning, data mining, and optimization algorithms. It provides a comprehensive overview of the latest research and developments in this field, covering a wide range of topics such as neural networks, genetic algorithms, optimization algorithms, and their applications in various industries.

The papers presented at LION 15 cover a diverse range of topics, including but not limited to:

Machine learning: This includes supervised learning, unsupervised learning, and reinforcement learning, with a focus on applications in image recognition, natural language processing, and autonomous systems.

Data mining: This includes data clustering, data summarization, and pattern recognition, with a focus on applications in healthcare, finance, and social networks.

Optimization algorithms: This includes evolutionary algorithms, stochastic algorithms, and metaheuristics, with a focus on applications in engineering, logistics, and energy systems.

The book is organized into five sections, each covering a different aspect of learning and intelligent optimization. The first section provides an introduction to the field, while the remaining sections cover specific topics in more detail. Each section includes a collection of papers that present the latest research findings and discuss their implications and potential applications.

In conclusion, this book serves as a valuable resource for researchers, practitioners, and students interested in the field of learning and intelligent optimization. It provides a comprehensive overview of the latest research and developments in this field, covering a wide range of topics and applications. The papers presented at LION 15 are of high quality and offer valuable insights into the future of learning and intelligent optimization.

Weight: 646g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030921200
Edition number: 1st ed. 2021