基本説明
自然現象を模した計算パラダイムと従来の計算パラダイムとの間のつながりに焦点を当てた初の書籍。自然現象を模した計算パラダイムを用いた様々な問題や、問題の解に関連したケーススタディが満載。
Contents: 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...
Full Description
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 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. A comprehensive handbook reference for computing paradigms and models based on natural phenomena. Essential compilation of models, methods, and algorithms for researchers, professionals, and graduate students working in all areas of computer science, IT, biocomputing, and network engineering.
