This book evaluates China's relations with sub-regional Southeast Asia through its Belt and Road Initiative (BRI) and the Lancang-Mekong Cooperation framework. The book looks at domestic drivers and regional receptivity of China's Belt and Road Initiative and also delves into the challenges of China's engagement in the Greater Mekong Sub-region. The book examines how China's BRI will contribute to the development of these countries, to regional economic integration and cooperation processes within a political-economic context. It addresses the BRI process within the GMS on three levels: regional, individual recipient countries and the Chinese perspective. The case studies in the book will help to provide insights on China's growing economic influence in sub-regional Southeast Asia and its Belt and Road Initiative. This book will appeal to researchers interested in the BRI, China's relations with Southeast Asia and China's neighbourhood policy and how domestic considerations are influencing China's policy making.

This book evaluates China's relations with sub-regional Southeast Asia through its Belt and Road Initiative (BRI) and the Lancang-Mekong Cooperation framework. The book looks at domestic drivers and regional receptivity of China's Belt and Road Initiative and also delves into the challenges of China's engagement in the Greater Mekong Sub-region. The book examines how China's BRI will contribute to the development of these countries, to regional economic integration and cooperation processes within a political-economic context. It addresses the BRI process within the GMS on three levels: regional, individual recipient countries and the Chinese perspective. The case studies in the book will help to provide insights on China's growing economic influence in sub-regional Southeast Asia and its Belt and Road Initiative. This book will appeal to researchers interested in the BRI, China's relations with Southeast Asia and China's neighbourhood policy and how domestic considerations are influencing China's policy making.

Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well.

This volume constitutes the revised selected papers of the 15th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2020, held in Qingdao, China, in October 2020.The 43 full papers presented in both volumes were selected from 109 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine learning; DNA computing and membrane computing.

The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.

The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.

This book constitutes the proceedings of the 9th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2014, held in Wuhan, China, in October 2014. The 109 revised full papers presented were carefully reviewed and selected from 204 submissions. The papers focus on four main topics, namely evolutionary computing, neural computing, DNA computing, and membrane computing.