1.

Record Nr.

UNINA9911018753303321

Autore

Asirvatham David

Titolo

Evolutionary Artificial Intelligence : Proceedings of ICEAI 2024 / / edited by David Asirvatham, Klimis Ntalianis, Przemyslaw Falkowski-Gilski

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819652105

9789819652099

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (861 pages)

Collana

Algorithms for Intelligent Systems, , 2524-7573

Altri autori (Persone)

NtalianisKlimis

Falkowski-GilskiPrzemyslaw

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Image processing - Digital techniques

Computer vision

Signal processing

Algorithms

Computational Intelligence

Artificial Intelligence

Computer Imaging, Vision, Pattern Recognition and Graphics

Signal, Speech and Image Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on Evolutionary Artificial Intelligence (ICEAI 2024) held in Malaysia during November 26–27, 2024. The focus of the book is interdisciplinary in nature and includes research on all aspects of evolutionary computation to find effective solutions to a wide range of computationally difficult problems. The book covers topics such as particle swarm optimization, evolutionary programming, genetic programming, hybrid evolutionary algorithms, ant colony optimization, evolutionary neural networks, evolutionary reinforcement learning,



genetic algorithms, memetic algorithms, novel bio-inspired algorithms, evolving multi-agent systems, agent-based evolutionary approaches, and evolutionary game theory.