Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation. ""The Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies"" provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). An excellent reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science. It features: 24 authoritative contributions by over 45 of the world's leading experts on artificial immune systems and natural computing from 13 countries; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; more than 900 references to existing literature and research on artificial immune systems and natural computing; and, a compendium of over 195 key terms with detailed definitions. It is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It offers cross-referencing of key terms, figures, and information pertinent to artificial immune systems and natural computing.

This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.

This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The papers are organized in 22 cohesive sections covering all major topics of swarm intelligence research and developments. The following topics are covered in this volume: analysis of swarm intelligence based algorithms, particle swarm optimization, applications of particle swarm optimization algorithms, ant colony optimization algorithms, biogeography-based optimization algorithms, novel swarm-based search methods, bee colony algorithms, differential evolution, neural networks, fuzzy methods, evolutionary programming and evolutionary games.

This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The papers are organized in 22 cohesive sections covering all major topics of swarm intelligence research and developments. The topics covered in this volume are: hybrid algorithms, swarm-robot and multi-agent systems, support vector machines, data mining methods, system and information security, intelligent control, wireless sensor network, scheduling and path planning, image and video processing, and other applications.