Evolutionary Artificial Intelligence by David Asirvatham
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 2025) held in Malaysia during December 19–20, 2025. 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.
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Soft Computing for Intelligent Systems
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Intelligent Data Analysis for COVID-19 Pandemic
| SKU | Unavailable |
| ISBN 13 | 9783032324221 |
| ISBN 10 | 303232422X |
| Title | Evolutionary Artificial Intelligence |
| Author | David Asirvatham |
| Series | Algorithms For Intelligent Systems |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2026-07-31 |
| Number of pages | 606 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |