Handbook of Nature-Inspired and Innovative Computing
Integrating Classical Models with Emerging Technologies
Zomaya, Albert Y. (Ed.)
2006, XVI, 736 p.
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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.
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.