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This book explores recent advances in the Internet of things (IoT)
via advanced technologies and provides an overview of most aspects
which are relevant for advance secure, distributed, decentralized
blockchain technology in the Internet of things, their
applications, and industry IoT. The book provides an in-depth
analysis of the step-by-step evolution of IoT to create a change by
enhancing the productivity of industries. It introduces how
connected things, data, and their communication (data sharing)
environment build a transparent, reliable, secure environment for
people, processes, systems, and services with the help of
blockchain technology.
This book explores recent advances in the Internet of things (IoT)
via advanced technologies and provides an overview of most aspects
which are relevant for advance secure, distributed, decentralized
blockchain technology in the Internet of things, their
applications, and industry IoT. The book provides an in-depth
analysis of the step-by-step evolution of IoT to create a change by
enhancing the productivity of industries. It introduces how
connected things, data, and their communication (data sharing)
environment build a transparent, reliable, secure environment for
people, processes, systems, and services with the help of
blockchain technology.
Evolutionary computation techniques have attracted increasing att-
tions in recent years for solving complex optimization problems.
They are more robust than traditional methods based on formal
logics or mathematical programming for many real world OR/MS
problems. E- lutionary computation techniques can deal with complex
optimization problems better than traditional optimization
techniques. However, most papers on the application of evolutionary
computation techniques to Operations Research /Management Science
(OR/MS) problems have scattered around in different journals and
conference proceedings. They also tend to focus on a very special
and narrow topic. It is the right time that an archival book series
publishes a special volume which - cludes critical reviews of the
state-of-art of those evolutionary com- tation techniques which
have been found particularly useful for OR/MS problems, and a
collection of papers which represent the latest devel- ment in
tackling various OR/MS problems by evolutionary computation
techniques. This special volume of the book series on Evolutionary
- timization aims at filling in this gap in the current literature.
The special volume consists of invited papers written by leading -
searchers in the field. All papers were peer reviewed by at least
two recognised reviewers. The book covers the foundation as well as
the practical side of evolutionary optimization.
Evolutionary computation techniques have attracted increasing att-
tions in recent years for solving complex optimization problems.
They are more robust than traditional methods based on formal
logics or mathematical programming for many real world OR/MS
problems. E- lutionary computation techniques can deal with complex
optimization problems better than traditional optimization
techniques. However, most papers on the application of evolutionary
computation techniques to Operations Research /Management Science
(OR/MS) problems have scattered around in different journals and
conference proceedings. They also tend to focus on a very special
and narrow topic. It is the right time that an archival book series
publishes a special volume which - cludes critical reviews of the
state-of-art of those evolutionary com- tation techniques which
have been found particularly useful for OR/MS problems, and a
collection of papers which represent the latest devel- ment in
tackling various OR/MS problems by evolutionary computation
techniques. This special volume of the book series on Evolutionary
- timization aims at filling in this gap in the current literature.
The special volume consists of invited papers written by leading -
searchers in the field. All papers were peer reviewed by at least
two recognised reviewers. The book covers the foundation as well as
the practical side of evolutionary optimization.
This book uncovers stakes and possibilities offered by
Computational Intelligence and Predictive Analytics to Medical
Science. The main focus is on data technologies,classification,
analysis and mining, information retrieval, and in the algorithms
needed to elaborate the informations. A section with use cases and
applications follows the two main parts of the book, respectively
dedicated to the foundations and techniques of the discipline.
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