Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings

This book presents the refereed proceedings of the 26th European Conference on Genetic Programming,EuroGP 2023,which explored the latest research in genetic programming,including optimization and machine learning algorithms,and applied it to real-world problems.

Format: Paperback / softback
Length: 356 pages
Publication date: 29 March 2023
Publisher: Springer International Publishing AG

The 26th European Conference on Genetic Programming,EuroGP 2023, held as part of EvoStar 2023 in Brno, Czech Republic, from April 12 to 14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications, has resulted in this comprehensive book. Comprising 14 revised full papers and 8 short papers, the selection process was rigorous, with 38 submissions considered. This volume showcases the diverse range of topics currently being explored in the field of Genetic Programming. The papers cover a wide spectrum, from developing innovative variants of GP algorithms for optimization and machine learning tasks to applying GP to tackle complex real-world problems.

The conference, EuroGP 2023, brought together researchers and practitioners from around the world to discuss the latest advancements and applications in Genetic Programming. The event featured keynote lectures, invited talks, and a vibrant poster session, providing a platform for exchanging ideas and fostering collaborations.

The papers presented in this book cover a wide range of topics, including:

Optimization: Researchers have explored the use of Genetic Programming for solving optimization problems, such as job scheduling, resource allocation, and machine learning tasks. They have developed new algorithms and techniques to improve the performance of GP algorithms and address challenging optimization problems.

Machine Learning: Genetic Programming has been applied to machine learning problems, such as classification, regression, and clustering. Researchers have developed GP-based models that can learn from data and improve their performance over time.

Complex Real-World Problems: Genetic Programming has shown promise in addressing complex real-world problems, such as medical diagnosis, traffic optimization, and energy management. Researchers have developed GP-based solutions that can handle large datasets and complex constraints.

Evolutionary Computation: Genetic Programming is closely related to evolutionary computation, which involves the search for solutions to problems through the process of natural selection. Researchers have explored the use of GP in combination with other evolutionary algorithms to improve the performance of evolutionary computation.

The book also includes an introduction to Genetic Programming, providing a comprehensive overview of the field and its applications. It discusses the history, theoretical foundations, and practical aspects of Genetic Programming, and provides an introduction to the most commonly used GP algorithms and techniques.

Overall, this book constitutes a valuable resource for researchers and practitioners in the field of Genetic Programming. It provides a comprehensive overview of the current state of research and highlights the potential of Genetic Programming to address a wide range of real-world problems.

Weight: 563g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031295720
Edition number: 1st ed. 2023