Bio-Inspired Computing: Theories and Applications: 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18, 2022, Revised Selected Papers

This book presents the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 16–18, 2022. It includes 56 full papers selected from 148 submissions, covering topics such as evolutionary computation, swarm intelligence, machine learning, intelligent control, simulation, and molecular computing and nanotechnology.

Format: Paperback / softback
Length: 705 pages
Publication date: 18 April 2023
Publisher: Springer Verlag, Singapore

The 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was held in Wuhan, China, from December 16 to 18, 2022. This conference brought together experts from around the world to discuss innovative approaches and applications in bio-inspired computing.

The proceedings of the conference include 56 full papers, which were carefully reviewed and selected from 148 submissions. These papers were organized into topical sections, covering various areas of bio-inspired computing.

The first section, "Evolutionary Computation and Swarm Intelligence," explored the use of evolutionary algorithms and swarm intelligence techniques to solve complex problems. The papers in this section discussed topics such as genetic algorithms, particle swarm optimization, and ant colony optimization, and their applications in fields such as optimization, machine learning, and artificial intelligence.

The second section, "Machine Learning and Deep Learning," focused on developing advanced machine learning and deep learning models inspired by biological systems. The papers in this section discussed topics such as neural networks, convolutional neural networks, and recurrent neural networks, and their applications in image recognition, speech recognition, and natural language processing.

The third section, "Intelligent Control and Simulation and Molecular Computing and Nanotechnology," explored the use of bio-inspired computing techniques in intelligent control systems, simulation, and molecular computing. The papers in this section discussed topics such as adaptive control, model predictive control, and molecular dynamics simulations, and their applications in aerospace, automotive, and energy industries.

Overall, the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was a successful event that showcased the latest advancements in bio-inspired computing. The conference provided a platform for researchers, practitioners, and industry professionals to exchange ideas, share experiences, and collaborate on developing new solutions to real-world problems.

The conference proceedings will be valuable for researchers, students, and practitioners in the fields of bio-inspired computing, artificial intelligence, and related disciplines. The papers included in this book will provide valuable insights into the latest research trends and applications in bio-inspired computing.

The 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was held in Wuhan, China, from December 16 to 18, 2022. This conference brought together experts from around the world to discuss innovative approaches and applications in bio-inspired computing.

The proceedings of the conference include 56 full papers, which were carefully reviewed and selected from 148 submissions. These papers were organized into topical sections, covering various areas of bio-inspired computing.

The first section, "Evolutionary Computation and Swarm Intelligence," explored the use of evolutionary algorithms and swarm intelligence techniques to solve complex problems. The papers in this section discussed topics such as genetic algorithms, particle swarm optimization, and ant colony optimization, and their applications in fields such as optimization, machine learning, and artificial intelligence.

The second section, "Machine Learning and Deep Learning," focused on developing advanced machine learning and deep learning models inspired by biological systems. The papers in this section discussed topics such as neural networks, convolutional neural networks, and recurrent neural networks, and their applications in image recognition, speech recognition, and natural language processing.

The third section, "Intelligent Control and Simulation and Molecular Computing and Nanotechnology," explored the use of bio-inspired computing techniques in intelligent control systems, simulation, and molecular computing. The papers in this section discussed topics such as adaptive control, model predictive control, and molecular dynamics simulations, and their applications in aerospace, automotive, and energy industries.

Overall, the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was a successful event that showcased the latest advancements in bio-inspired computing. The conference provided a platform for researchers, practitioners, and industry professionals to exchange ideas, share experiences, and collaborate on developing new solutions to real-world problems.

The conference proceedings will be valuable for researchers, students, and practitioners in the fields of bio-inspired computing, artificial intelligence, and related disciplines. The papers included in this book will provide valuable insights into the latest research trends and applications in bio-inspired computing.

The 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was held in Wuhan, China, from December 16 to 18, 2022. This conference brought together experts from around the world to discuss innovative approaches and applications in bio-inspired computing.

The proceedings of the conference include 56 full papers, which were carefully reviewed and selected from 148 submissions. These papers were organized into topical sections, covering various areas of bio-inspired computing.

The first section, "Evolutionary Computation and Swarm Intelligence," explored the use of evolutionary algorithms and swarm intelligence techniques to solve complex problems. The papers in this section discussed topics such as genetic algorithms, particle swarm optimization, and ant colony optimization, and their applications in fields such as optimization, machine learning, and artificial intelligence.

The second section, "Machine Learning and Deep Learning," focused on developing advanced machine learning and deep learning models inspired by biological systems. The papers in this section discussed topics such as neural networks, convolutional neural networks, and recurrent neural networks, and their applications in image recognition, speech recognition, and natural language processing.

The third section, "Intelligent Control and Simulation and Molecular Computing and Nanotechnology," explored the use of bio-inspired computing techniques in intelligent control systems, simulation, and molecular computing. The papers in this section discussed topics such as adaptive control, model predictive control, and molecular dynamics simulations, and their applications in aerospace, automotive, and energy industries.

Overall, the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, was a successful event that showcased the latest advancements in bio-inspired computing. The conference provided a platform for researchers, practitioners, and industry professionals to exchange ideas, share experiences, and collaborate on developing new solutions to real-world problems.

The conference proceedings will be valuable for researchers, students, and practitioners in the fields of bio-inspired computing, artificial intelligence, and related disciplines. The papers included in this book will provide valuable insights into the latest research trends and applications in bio-inspired computing.

Weight: 1092g
Dimension: 235 x 155 (mm)
ISBN-13: 9789819915484
Edition number: 1st ed. 2023