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The text focuses on mathematical modeling and applications of
advanced techniques of machine learning, and artificial
intelligence, including artificial neural networks, evolutionary
computing, data mining, and fuzzy systems to solve performance and
design issues more precisely. Intelligent computing encompasses
technologies, algorithms, and models in providing effective and
efficient solutions to a wide range of problems including the
airport's intelligent safety system. It will serve as an ideal
reference text for senior undergraduate, graduate students, and
academic researchers in fields including industrial engineering,
manufacturing engineering, computer engineering, and mathematics.
The book- Discusses mathematical modeling for traffic, sustainable
supply chain, vehicular Ad-Hoc networks, internet of things
networks with intelligent gateways. Covers advanced machine
learning, artificial intelligence, fuzzy systems, evolutionary
computing, data mining techniques for real-world problems. Presents
applications of mathematical models in chronic diseases such as
kidney and coronary artery diseases. Highlights advances in
mathematical modeling, strength, and benefits of machine learning
and artificial intelligence, including driving goals,
applicability, algorithms, and processes involved. Showcases
emerging real-life topics on mathematical models, machine learning,
and intelligent computing using an interdisciplinary approach. The
text presents emerging real-life topics on mathematical models,
machine learning, and intelligent computing in a single volume. It
will serve as an ideal text for senior undergraduate, graduate
students, and researchers in diverse fields domains including
industrial and manufacturing engineering, computer engineering, and
mathematics.
With the globalization of work and technological advancements in
recent years, and with emphasis on service quality today,
organizations have changed. Virtual work has emerged as the new
employment relationship and has been embraced by employees and
employers in many industries. This book explores the dynamics of
changing organization structures, theories of leadership and trust,
and how dimensions of self-efficacy works in this new work
relationship. Organizational Behavior and Virtual Work: Concepts
and Analytical Approaches shows the enormous impact of technology
and globalization on employment relationships and also predicts how
they will contribute to the changing dimensions of organizations in
the future. With a unique blend of theory and application in the
real world of virtual workers, the book presents the most recent
research and developments in the relatively new and still emerging
area of virtual work. It takes an in-depth critical look into the
key factors affecting the virtual work environment with practical
inputs of suggestions and recommendations. With the objective of
presenting information about this new work scenario, this book
attempts to unfold important human behavior processes in
organizations. The volume presents a rare combination of the
necessary concepts of human behavior in organizations along with
the results of research in the field and also makes practical
recommendations on virtual work programs. Key features include a
unique blend of research with organizational behavior concepts and
practical recommendations for workers, managers, and business
executives.
This book covers an interdisciplinary approach for understanding
mathematical modeling by offering a collection of models, solved
problems related to the models, the methodologies employed, and the
results using projects and case studies with insight into the
operation of substantial real-time systems. The book covers a broad
scope in the areas of statistical science, probability, stochastic
processes, fluid dynamics, supply chain, optimization, and
applications. It discusses advanced topics and the latest research
findings, uses an interdisciplinary approach for real-time systems,
offers a platform for integrated research, and identifies the gaps
in the field for further research. The book is for researchers,
students, and teachers that share a goal of learning advanced
topics and the latest research in mathematical modeling.
This book provides essential insights into a range of newly
developed numerical optimization techniques with a view to solving
real-world problems. Many of these problems can be modeled as
nonlinear optimization problems, but due to their complex nature,
it is not always possible to solve them using conventional
optimization theory. Accordingly, the book discusses the design and
applications of non-conventional numerical optimization techniques,
including the design of benchmark functions and the implementation
of these techniques to solve real-world optimization problems. The
book's twenty chapters examine various interesting research topics
in this area, including: Pi fraction-based optimization of the
Pantoja-Bretones-Martin (PBM) antenna benchmarks; benchmark
function generators for single-objective robust optimization
algorithms; convergence of gravitational search algorithms on
linear and quadratic functions; and an algorithm for the
multi-variant evolutionary synthesis of nonlinear models with
real-valued chromosomes. Delivering on its promise to explore
real-world scenarios, the book also addresses the seismic analysis
of a multi-story building with optimized damper properties; the
application of constrained spider monkey optimization to solve
portfolio optimization problems; the effect of upper body motion on
a bipedal robot's stability; an ant colony algorithm for routing
alternate-fuel vehicles in multi-depot vehicle routing problems;
enhanced fractal dimension-based feature extraction for thermal
face recognition; and an artificial bee colony-based
hyper-heuristic for the single machine order acceptance and
scheduling problem. The book will benefit not only researchers, but
also organizations active in such varied fields as Aerospace,
Automotive, Biotechnology, Consumer Packaged Goods, Electronics,
Finance, Business & Banking, Oil, Gas & Geosciences, and
Pharma, to name a few.
This book presents the latest developments and breakthroughs in
fuzzy theory and performance prediction of queuing and reliability
models by using the stochastic modeling and optimization theory.
The main focus is on analytics that use fuzzy logic, queuing and
reliability theory for the performance prediction and optimal
design of real-time engineering systems including call centers,
telecommunication, manufacturing, service organizations, etc. For
the day-to-day as well as industrial queuing situations and
reliability prediction of machining parts embedded in computer,
communication and manufacturing systems, the book assesses various
measures of performance and effectiveness that can provide valuable
insights and help arrive at the best decisions with regard to
service and engineering systems. In twenty chapters, the book
presents both theoretical developments and applications of the
fuzzy logic, reliability and queuing models in a diverse range of
scenarios. The topics discussed will be of interest to researchers,
educators and undergraduate students in the fields of Engineering,
Business Management, and the Mathematical Sciences.
This book addresses a broad range of problems commonly encountered
in the fields of financial analysis, logistics and supply chain
management, such as the use of big data analytics in the banking
sector. Divided into twenty chapters, some of the contemporary
topics discussed in the book are co-operative/non-cooperative
supply chain models for imperfect quality items with trade-credit
financing; a non-dominated sorting water cycle algorithm for the
cardinality constrained portfolio problem; and determining initial,
basic and feasible solutions for transportation problems by means
of the "supply demand reparation method" and "continuous allocation
method." In addition, the book delves into a comparison study on
exponential smoothing and the Arima model for fuel prices; optimal
policy for Weibull distributed deteriorating items varying with
ramp type demand rate and shortages; an inventory model with
shortages and deterioration for three different demand rates;
outlier labeling methods for medical data; a garbage disposal plant
as a validated model of a fault-tolerant system; and the design of
a "least cost ration formulation application for cattle"; a
preservation technology model for deteriorating items with
advertisement dependent demand and trade credit; a time series
model for stock price forecasting in India; and asset pricing using
capital market curves. The book offers a valuable asset for all
researchers and industry practitioners working in these areas,
giving them a feel for the latest developments and encouraging them
to pursue further research in this direction.
This book presents the latest developments and breakthroughs in
fuzzy theory and performance prediction of queuing and reliability
models by using the stochastic modeling and optimization theory.
The main focus is on analytics that use fuzzy logic, queuing and
reliability theory for the performance prediction and optimal
design of real-time engineering systems including call centers,
telecommunication, manufacturing, service organizations, etc. For
the day-to-day as well as industrial queuing situations and
reliability prediction of machining parts embedded in computer,
communication and manufacturing systems, the book assesses various
measures of performance and effectiveness that can provide valuable
insights and help arrive at the best decisions with regard to
service and engineering systems. In twenty chapters, the book
presents both theoretical developments and applications of the
fuzzy logic, reliability and queuing models in a diverse range of
scenarios. The topics discussed will be of interest to researchers,
educators and undergraduate students in the fields of Engineering,
Business Management, and the Mathematical Sciences.
This book provides essential insights into a range of newly
developed numerical optimization techniques with a view to solving
real-world problems. Many of these problems can be modeled as
nonlinear optimization problems, but due to their complex nature,
it is not always possible to solve them using conventional
optimization theory. Accordingly, the book discusses the design and
applications of non-conventional numerical optimization techniques,
including the design of benchmark functions and the implementation
of these techniques to solve real-world optimization problems. The
book's twenty chapters examine various interesting research topics
in this area, including: Pi fraction-based optimization of the
Pantoja-Bretones-Martin (PBM) antenna benchmarks; benchmark
function generators for single-objective robust optimization
algorithms; convergence of gravitational search algorithms on
linear and quadratic functions; and an algorithm for the
multi-variant evolutionary synthesis of nonlinear models with
real-valued chromosomes. Delivering on its promise to explore
real-world scenarios, the book also addresses the seismic analysis
of a multi-story building with optimized damper properties; the
application of constrained spider monkey optimization to solve
portfolio optimization problems; the effect of upper body motion on
a bipedal robot's stability; an ant colony algorithm for routing
alternate-fuel vehicles in multi-depot vehicle routing problems;
enhanced fractal dimension-based feature extraction for thermal
face recognition; and an artificial bee colony-based
hyper-heuristic for the single machine order acceptance and
scheduling problem. The book will benefit not only researchers, but
also organizations active in such varied fields as Aerospace,
Automotive, Biotechnology, Consumer Packaged Goods, Electronics,
Finance, Business & Banking, Oil, Gas & Geosciences, and
Pharma, to name a few.
This book addresses a broad range of problems commonly encountered
in the fields of financial analysis, logistics and supply chain
management, such as the use of big data analytics in the banking
sector. Divided into twenty chapters, some of the contemporary
topics discussed in the book are co-operative/non-cooperative
supply chain models for imperfect quality items with trade-credit
financing; a non-dominated sorting water cycle algorithm for the
cardinality constrained portfolio problem; and determining initial,
basic and feasible solutions for transportation problems by means
of the "supply demand reparation method" and "continuous allocation
method." In addition, the book delves into a comparison study on
exponential smoothing and the Arima model for fuel prices; optimal
policy for Weibull distributed deteriorating items varying with
ramp type demand rate and shortages; an inventory model with
shortages and deterioration for three different demand rates;
outlier labeling methods for medical data; a garbage disposal plant
as a validated model of a fault-tolerant system; and the design of
a "least cost ration formulation application for cattle"; a
preservation technology model for deteriorating items with
advertisement dependent demand and trade credit; a time series
model for stock price forecasting in India; and asset pricing using
capital market curves. The book offers a valuable asset for all
researchers and industry practitioners working in these areas,
giving them a feel for the latest developments and encouraging them
to pursue further research in this direction.
With the globalization of work and technological advancements in
recent years, and with emphasis on service quality today,
organizations have changed. Virtual work has emerged as the new
employment relationship and has been embraced by employees and
employers in many industries. This book explores the dynamics of
changing organization structures, theories of leadership and trust,
and how dimensions of self-efficacy works in this new work
relationship. Organizational Behavior and Virtual Work: Concepts
and Analytical Approaches shows the enormous impact of technology
and globalization on employment relationships and also predicts how
they will contribute to the changing dimensions of organizations in
the future. With a unique blend of theory and application in the
real world of virtual workers, the book presents the most recent
research and developments in the relatively new and still emerging
area of virtual work. It takes an in-depth critical look into the
key factors affecting the virtual work environment with practical
inputs of suggestions and recommendations. With the objective of
presenting information about this new work scenario, this book
attempts to unfold important human behavior processes in
organizations. The volume presents a rare combination of the
necessary concepts of human behavior in organizations along with
the results of research in the field and also makes practical
recommendations on virtual work programs. Key features include a
unique blend of research with organizational behavior concepts and
practical recommendations for workers, managers, and business
executives.
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