本の詳細
形式
ペーパーバック
ページ数
740
言語
英語
公開されました
Mar 23, 2011
出版社
Springer
ISBN-10
3642172997
ISBN-13
9783642172991
説明
This collection presents the proceedings from an esteemed conference dedicated to the exploration of simulated evolution and learning technologies. Researchers and experts from around the globe convened in Kanpur, India, to share their latest findings and advancements in the field. The discussions highlighted innovative methodologies and applications that leverage evolutionary algorithms to solve complex problems across various domains.
The contributors delve into a range of topics, showcasing both theoretical underpinnings and practical implementations of simulated evolution. Through rigorous analysis and experimentation, they examine the interplay between natural selection principles and computational techniques, providing valuable insights for academics and practitioners alike.
As the evolving landscape of artificial intelligence continues to grow, this volume serves as a significant reference point for those interested in the intersection of evolutionary computation and machine learning. By documenting the vibrant discourse from the conference, it offers a window into the future of adaptive algorithms and their potential to shape various industries.
The contributors delve into a range of topics, showcasing both theoretical underpinnings and practical implementations of simulated evolution. Through rigorous analysis and experimentation, they examine the interplay between natural selection principles and computational techniques, providing valuable insights for academics and practitioners alike.
As the evolving landscape of artificial intelligence continues to grow, this volume serves as a significant reference point for those interested in the intersection of evolutionary computation and machine learning. By documenting the vibrant discourse from the conference, it offers a window into the future of adaptive algorithms and their potential to shape various industries.