Handbook of Nature-Inspired and Innovative Computing [recurso electrónico] : Integrating Classical Models with Emerging Technologies / edited by Albert Y. Zomaya.

Models -- Changing Challenges for Collaborative Algorithmics -- Arm++: A Hybrid Association Rule Mining Algorithm -- Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems -- Evolutionary Paradigms -- Artificial Neural Networks -- Swarm Intelligence -- Fuzzy Logic -- Quantum Computing -- Enabling Technologies -- Computer Architecture -- A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today's MEMS Implementations (A Survey Report) -- Morphware and Configware -- Evolving Hardware -- Implementing Neural Models in Silicon -- Molecular and Nanoscale Computing and Technology -- Trends in High-Performance Computing -- Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers -- Web Service Computing: Overview and Directions -- Predicting Grid Resource Performance Online -- Application Domains -- Pervasive Computing: Enabling Technologies and Challenges -- Information Display -- Bioinformatics -- Noise in Foreign Exchange Markets.

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.