Bio-inspired computing for hybrid information technology

Binod Vaidya, Jong Hyuk Park, Hamid R. Arabnia, Witold Pedrycz, Sheng-Lung Peng
2011 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Recently biologically inspired, converged and hybrid information technologies have become of significant interest due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness and highdimensionality. This special issue is committed to capture the state-of-the-art and recent advances on various aspects of biologically inspired computing for hybrid information technology. It aims to bring together the researchers from academia and
more » ... as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of information technology, especially focused bio-inspired computing. Original articles describing algorithms, protocols, performance evaluations, and case studies on the bio-inspired hybrid information technologies are solicited for this special issue. Topics include, but not limited to: -Bio-inspired information and communication systems -Bio-inspired networking for pervasive computing environments -Bio-inspired mathematical models, methods and tools -Bio-inspired network and communication algorithms and protocols -Biologically inspired fault-tolerant communication systems -Cluster and grid implementation of bio-inspired networks. -Self-organizing, self-learning and self-healing network architectures -Novel applications and services inspired by biological systems -Scalable and adaptive network architectures -Performance evaluation of bio-inspired networks -Bio-inspired mechanisms for network and information security -Bio-inspired intrusion-tolerant systems -Biologically inspired and cognitive strategies for cyber defense -Bio-inspired service evolution and optimization -Topology control and network organization for bioinspired networks -Bio-inspired localization, synchronization and mobility approaches -Nano-scale and molecular computing and communications -Case studies of biologically inspired networks. We received 15 manuscripts. Each manuscript was blindly reviewed by at least three reviewers consisting of guest editors and external reviewers.
doi:10.1007/s00500-011-0720-5 fatcat:qxabwdnqxrajjneolylgelds6m