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.
The book is intended to be a Virtual Get Together
of several researchers that one could invite to attend a conference on `futurism’ dealing with the theme of Computing in the 21st Century
. Of course, the list of topics that is explored here is by no means exhaustive but most of the conclusions provided can be extended to other research fields that are not covered here. There was a decision to limit the number of chapters while providing more pages for contributed authors to express their ideas, so that the handbook remains manageable within a single volume.
It is also hoped that the topics covered will get readers to think of the implications of such new ideas for developments in their own fields. Further, the enabling technologies and application areas are to be understood very broadly and include, but are not limited to, the areas included in the handbook.
The handbook endeavors to strike a balance between theoretical and practical coverage of a range of innovative computing paradigms and applications. The handbook is organized into three main sections: (I) Models, (II) Enabling Technologies and (III) Application Domains; and the titles of the different chapters are self-explanatory to what is covered. The handbook is intended to be a repository of paradigms, technologies, and applications that target the different facets of the process of computing.
The book brings together a combination of chapters that normally don’t appear in the same space in the wide literature, such as bioinformatics, molecular computing, optics, quantum computing, and others. However, these new paradigms are changing the face of computing as we know it and they will be influencing and radically revolutionizing traditional computational paradigms. So, this volume catches the wave at the right time by allowing the contributors to explore with great freedom and elaborate on how their respective fields are contributing to re-shaping the field of computing.