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Brain Storm Optimization (BSO) algorithms are a new kind of swarm
intelligence method, which is based on the collective behavior of
human beings, i.e., on the brainstorming process. Since the
introduction of BSO algorithms in 2011, many studies on them have
been conducted. They not only offer an optimization method, but
could also be viewed as a framework of optimization techniques. The
process employed in the algorithms could be simplified as a
framework with two basic operations: the converging operation and
the diverging operation. A "good enough" optimum could be obtained
through recursive solution divergence and convergence. The
resulting optimization algorithm would naturally have the
capability of both convergence and divergence. This book is
primarily intended for researchers, engineers, and graduate
students with an interest in BSO algorithms and their applications.
The chapters cover various aspects of BSO algorithms, and
collectively provide broad insights into what these algorithms have
to offer. The book is ideally suited as a graduate-level textbook,
whereby students may be tasked with the study of the rich variants
of BSO algorithms that involves a hands-on implementation to
demonstrate the utility and applicability of BSO algorithms in
solving optimization problems.
This book focuses on key simulation and evaluation technologies for
5G systems. Based on the most recent research results from academia
and industry, it describes the evaluation methodologies in depth
for network and physical layer technologies. The evaluation methods
are discussed in depth. It also covers the analysis of the 5G
candidate technologies and the testing challenges, the evolution of
the testing technologies, fading channel measurement and modeling,
software simulations, software hardware cosimulation, field testing
and other novel evaluation methods. The fifth-generation (5G)
mobile communications system targets highly improved network
performances in terms of the network capacity and the number of
connections. Testing and evaluation technologies is widely
recognized and plays important roles in the wireless technology
developments, along with the research on basic theory and key
technologies. The investigation and developments on the multi-level
and comprehensive evaluations for 5G new technologies, provides
important performance references for the 5G technology filtering
and future standardizations. Students focused on
telecommunications, electronic engineering, computer science or
other related disciplines will find this book useful as a secondary
text. Researchers and professionals working within these related
fields will also find this book useful as a reference.
The use of optimization algorithms has seen an emergence in various
professional fields due to its ability to process data and
information in an efficient and productive manner. Combining
computational intelligence with these algorithms has created a
trending subject of research on how much more beneficial
intelligent-inspired algorithms can be within companies and
organizations. As modern theories and applications are continually
being developed in this area, professionals are in need of current
research on how intelligent algorithms are advancing in the real
world. The Handbook of Research on Advancements of Swarm
Intelligence Algorithms for Solving Real-World Problems is a
pivotal reference source that provides vital research on the
development of swarm intelligence algorithms and their
implementation into current issues. While highlighting topics such
as multi-agent systems, bio-inspired computing, and evolutionary
programming, this publication explores various concepts and
theories of swarm intelligence and outlines future directions of
development. This book is ideally designed for IT specialists,
researchers, academicians, engineers, developers, practitioners,
and students seeking current research on the real-world
applications of intelligent algorithms.
This book focuses on key simulation and evaluation technologies for
5G systems. Based on the most recent research results from academia
and industry, it describes the evaluation methodologies in depth
for network and physical layer technologies. The evaluation methods
are discussed in depth. It also covers the analysis of the 5G
candidate technologies and the testing challenges, the evolution of
the testing technologies, fading channel measurement and modeling,
software simulations, software hardware cosimulation, field testing
and other novel evaluation methods. The fifth-generation (5G)
mobile communications system targets highly improved network
performances in terms of the network capacity and the number of
connections. Testing and evaluation technologies is widely
recognized and plays important roles in the wireless technology
developments, along with the research on basic theory and key
technologies. The investigation and developments on the multi-level
and comprehensive evaluations for 5G new technologies, provides
important performance references for the 5G technology filtering
and future standardizations. Students focused on
telecommunications, electronic engineering, computer science or
other related disciplines will find this book useful as a secondary
text. Researchers and professionals working within these related
fields will also find this book useful as a reference.
Brain Storm Optimization (BSO) algorithms are a new kind of swarm
intelligence method, which is based on the collective behavior of
human beings, i.e., on the brainstorming process. Since the
introduction of BSO algorithms in 2011, many studies on them have
been conducted. They not only offer an optimization method, but
could also be viewed as a framework of optimization techniques. The
process employed in the algorithms could be simplified as a
framework with two basic operations: the converging operation and
the diverging operation. A "good enough" optimum could be obtained
through recursive solution divergence and convergence. The
resulting optimization algorithm would naturally have the
capability of both convergence and divergence. This book is
primarily intended for researchers, engineers, and graduate
students with an interest in BSO algorithms and their applications.
The chapters cover various aspects of BSO algorithms, and
collectively provide broad insights into what these algorithms have
to offer. The book is ideally suited as a graduate-level textbook,
whereby students may be tasked with the study of the rich variants
of BSO algorithms that involves a hands-on implementation to
demonstrate the utility and applicability of BSO algorithms in
solving optimization problems.
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