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Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part II

Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part II

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  • More about Bio-Inspired Computing: Theories and Applications: 16th International Conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021, Revised Selected Papers, Part II

This two-volume set (CCIS 1565 and CCIS 1566) contains selected and revised papers from the 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021. The papers cover topics such as evolutionary computation and swarm intelligence, DNA and molecular computing, machine learning and computer vision, and are organized into topical sections.

Format: Paperback / softback
Length: 431 pages
Publication date: 24 March 2022
Publisher: Springer Verlag, Singapore


This two-volume set, comprising CCIS 1565 and CCIS 1566, presents a compilation of selected and revised papers from the 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021. A total of 67 papers were presented at the conference, following a rigorous review process from 211 submissions. The papers are organized into the following topical sections:

Evolutionary Computation and Swarm Intelligence: This section explores the use of evolutionary algorithms and swarm intelligence techniques in solving complex problems. It covers topics such as genetic algorithms, particle swarm optimization, ant colony optimization, and other bio-inspired approaches.

DNA and Molecular Computing: This section focuses on leveraging DNA and molecular structures for computing purposes. It explores applications in areas such as DNA computing, molecular simulation, and bioinformatics.

Machine Learning and Computer Vision: This section explores the intersection of machine learning and computer vision, focusing on developing algorithms and systems that can recognize and interpret visual data. It covers topics such as image recognition, object detection, and facial recognition.

The contributions made by the authors in these areas showcase the latest advancements in bio-inspired computing and its applications across various domains. The two-volume set provides a valuable resource for researchers, practitioners, and students interested in this field.

The conference organizers would like to express their gratitude to all the participants, speakers, and reviewers for their valuable contributions to BIC-TA 2021. The success of the conference was greatly influenced by their hard work and dedication.

Weight: 688g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811912528
Edition number: 1st ed. 2022

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