Evolutionary Artificial Intelligence

Evolutionary Artificial Intelligence

  • David Asirvatham
  • Francisco M. Gonzalez-Longatt
  • Przemyslaw Falkowski-Gilski
  • R. Kanthavel
Publisher:Springer NatureISBN 13: 9789819984381ISBN 10: 9819984386

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Know about the book -

Evolutionary Artificial Intelligence is written by David Asirvatham and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9819984386 (ISBN 10) and 9789819984381 (ISBN 13).

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 2023) held in Malaysia during 13-14 September 2023. 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.