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This book is interesting and full of new ideas. It provokes the
curiosity of the readers. The book targets both researchers and
practitioners. The students and the researchers will acquire
knowledge about ant colony optimization and its possible
applications as well as practitioners will find new ideas and
solutions of their combinatorial optimization and decision-making
problems. Ant colony optimization is between the best method for
solving difficult optimization problems arising in real life and
industry. It has obtained distinguished results on some
applications with very restrictive constraints. The reader will
find theoretical aspects of ant method as well as applications on a
variety of problems. The following applications could be mentioned:
multiple knapsack problem, which is an important economical
problem; grid scheduling problem; GPS surveying problem; E. coli
cultivation modeling; wireless sensor network positioning; image
edges detection; workforce planning.
Every day we need to solve large problems for which supercomputers
are needed. High performance computing (HPC) is a paradigm that
allows to efficiently implement large-scale computational tasks on
powerful supercomputers unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many
challenging real world problems arising in engineering, economics,
medicine and other areas can be formulated as large-scale
computational tasks. The volume is a comprehensive collection of
extended contributions from the High performance computing
conference held in Borovets, Bulgaria, September 2019. This book
presents recent advances in high performance computing. The topics
of interest included into this volume are: HP software tools,
Parallel Algorithms and Scalability, HPC in Big Data analytics,
Modelling, Simulation & Optimization in a Data Rich
Environment, Advanced numerical methods for HPC, Hybrid parallel or
distributed algorithms. The volume is focused on important
large-scale applications like Environmental and Climate Modeling,
Computational Chemistry and Heuristic Algorithms.
This book is interesting and full of new ideas. It provokes the
curiosity of the readers. The book targets both researchers and
practitioners. The students and the researchers will acquire
knowledge about ant colony optimization and its possible
applications as well as practitioners will find new ideas and
solutions of their combinatorial optimization and decision-making
problems. Ant colony optimization is between the best method for
solving difficult optimization problems arising in real life and
industry. It has obtained distinguished results on some
applications with very restrictive constraints. The reader will
find theoretical aspects of ant method as well as applications on a
variety of problems. The following applications could be mentioned:
multiple knapsack problem, which is an important economical
problem; grid scheduling problem; GPS surveying problem; E. coli
cultivation modeling; wireless sensor network positioning; image
edges detection; workforce planning.
This book is a comprehensive collection of extended contributions
from the Workshops on Computational Optimization 2019.Our everyday
life is unthinkable without optimization. We try to minimize our
effort and to maximize the achieved profit. Many real-world and
industrial problems arising in engineering, economics, medicine and
other domains can be formulated as optimization tasks. This book
presents recent advances in computational optimization. The book
includes important real problems like modeling of physical
processes, wildfire and flood risk modeling, workforce planning,
parameter settings for controlling different processes, optimal
electrical vehicle modeling, bioreactor modeling and design of
VLSI. It shows how to develop algorithms for them based on new
intelligent methods like evolutionary computations, ant colony
optimization, constrain programming and others. This research
demonstrates how some real-world problems arising in engineering,
economics and other domains can be formulated as optimization
problems.
This book presents new optimization approaches and methods and
their application in real-world and industrial problems. Numerous
processes and problems in real life and industry can be represented
as optimization problems, including modeling physical processes,
wildfire, natural hazards and metal nanostructures, workforce
planning, wireless network topology, parameter settings for
controlling different processes, extracting elements from video
clips, and management of cloud computing environments. This book
shows how to develop algorithms for these problems, based on new
intelligent methods like evolutionary computations, ant colony
optimization and constraint programming, and demonstrates how
real-world problems arising in engineering, economics and other
domains can be formulated as optimization problems. The book is
useful for researchers and practitioners alike.
Every day we need to solve large problems for which supercomputers
are needed. High performance computing (HPC) is a paradigm that
allows to efficiently implement large-scale computational tasks on
powerful supercomputers unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many
challenging real world problems arising in engineering, economics,
medicine and other areas can be formulated as large-scale
computational tasks. The volume is a comprehensive collection of
extended contributions from the High performance computing
conference held in Borovets, Bulgaria, September 2019. This book
presents recent advances in high performance computing. The topics
of interest included into this volume are: HP software tools,
Parallel Algorithms and Scalability, HPC in Big Data analytics,
Modelling, Simulation & Optimization in a Data Rich
Environment, Advanced numerical methods for HPC, Hybrid parallel or
distributed algorithms. The volume is focused on important
large-scale applications like Environmental and Climate Modeling,
Computational Chemistry and Heuristic Algorithms.
This book presents new optimization approaches and methods and
their application in real-world and industrial problems. Numerous
processes and problems in real life and industry can be represented
as optimization problems, including modeling physical processes,
wildfire, natural hazards and metal nanostructures, workforce
planning, wireless network topology, parameter settings for
controlling different processes, extracting elements from video
clips, and management of cloud computing environments. This book
shows how to develop algorithms for these problems, based on new
intelligent methods like evolutionary computations, ant colony
optimization and constraint programming, and demonstrates how
real-world problems arising in engineering, economics and other
domains can be formulated as optimization problems. The book is
useful for researchers and practitioners alike.
Our everyday lives are practically unthinkable without
optimization. We constantly try to minimize our effort and to
maximize the reward or progress achieved. Many real-world and
industrial problems arising in engineering, economics, medicine and
other domains can be formulated as optimization tasks. This volume
presents a comprehensive collection of extended contributions from
the 2017 Workshop on Computational Optimization. Presenting recent
advances in computational optimization, it addresses important
concrete applications, e.g. the modeling of physical processes,
wildfire modeling, modeling processes in chemical engineering,
workforce planning, wireless access network topology, parameter
settings for controlling various processes, berth allocation,
identification of homogeneous domains, and quantum computing. The
book shows how to develop algorithms for them based on new
intelligent methods like evolutionary computations, ant colony
optimization, constrain programming and others.
This book presents new optimization approaches and methods and
their application in real-world and industrial problems, and
demonstrates how many of the problems arising in engineering,
economics and other domains can be formulated as optimization
problems. Constituting a comprehensive collection of extended
contributions from the 9th International Workshop on Computational
Optimization (WCO) held in Gdansk, Poland, September 11-14, 2016,
the book discusses important applications such as job scheduling,
wildfire modeling, parameter settings for controlling different
processes, capital budgeting, data mining, finding the location of
sensors in a given network, identifying the conformation of
molecules, algorithm correctness, decision support system, and
computer memory management. Further, it shows how to develop
algorithms for these based on new intelligent methods like
evolutionary computations, ant colony optimization and constraint
programming. The book is a valuable resource for researchers and
practitioners alike.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2015. It presents
recent advances in computational optimization. The volume includes
important real life problems like parameter settings for
controlling processes in bioreactor, control of ethanol production,
minimal convex hill with application in routing algorithms, graph
coloring, flow design in photonic data transport system, predicting
indoor temperature, crisis control center monitoring, fuel
consumption of helicopters, portfolio selection, GPS surveying and
so on. It shows how to develop algorithms for them based on new
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming and others. This research
demonstrates how some real-world problems arising in engineering,
economics, medicine and other domains can be formulated as
optimization problems.
This book presents new optimization approaches and methods and
their application in real-world and industrial problems, and
demonstrates how many of the problems arising in engineering,
economics and other domains can be formulated as optimization
problems. Constituting a comprehensive collection of extended
contributions from the 9th International Workshop on Computational
Optimization (WCO) held in Gdansk, Poland, September 11-14, 2016,
the book discusses important applications such as job scheduling,
wildfire modeling, parameter settings for controlling different
processes, capital budgeting, data mining, finding the location of
sensors in a given network, identifying the conformation of
molecules, algorithm correctness, decision support system, and
computer memory management. Further, it shows how to develop
algorithms for these based on new intelligent methods like
evolutionary computations, ant colony optimization and constraint
programming. The book is a valuable resource for researchers and
practitioners alike.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2014, held at
Warsaw, Poland, September 7-10, 2014. The book presents recent
advances in computational optimization. The volume includes
important real problems like parameter settings for controlling
processes in bioreactor and other processes, resource constrained
project scheduling, infection distribution, molecule distance
geometry, quantum computing, real-time management and optimal
control, bin packing, medical image processing, localization the
abrupt atmospheric contamination source and so on. It shows how to
develop algorithms for them based on new metaheuristic methods like
evolutionary computation, ant colony optimization, constrain
programming and others. This research demonstrates how some
real-world problems arising in engineering, economics, medicine and
other domains can be formulated as optimization tasks.
Our everyday life is unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many real
world and industrial problems arising in engineering, economics,
medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2013. It presents
recent advances in computational optimization. The volume includes
important real life problems like parameter settings for
controlling processes in bioreactor, resource constrained project
scheduling, problems arising in transport services, error
correcting codes, optimal system performance and energy consumption
and so on. It shows how to develop algorithms for them based on new
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming and others.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2015. It presents
recent advances in computational optimization. The volume includes
important real life problems like parameter settings for
controlling processes in bioreactor, control of ethanol production,
minimal convex hill with application in routing algorithms, graph
coloring, flow design in photonic data transport system, predicting
indoor temperature, crisis control center monitoring, fuel
consumption of helicopters, portfolio selection, GPS surveying and
so on. It shows how to develop algorithms for them based on new
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming and others. This research
demonstrates how some real-world problems arising in engineering,
economics, medicine and other domains can be formulated as
optimization problems.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2014, held at
Warsaw, Poland, September 7-10, 2014. The book presents recent
advances in computational optimization. The volume includes
important real problems like parameter settings for controlling
processes in bioreactor and other processes, resource constrained
project scheduling, infection distribution, molecule distance
geometry, quantum computing, real-time management and optimal
control, bin packing, medical image processing, localization the
abrupt atmospheric contamination source and so on. It shows how to
develop algorithms for them based on new metaheuristic methods like
evolutionary computation, ant colony optimization, constrain
programming and others. This research demonstrates how some
real-world problems arising in engineering, economics, medicine and
other domains can be formulated as optimization tasks.
Optimization is part of our everyday life. We try to organize our
work in a better way and optimization occurs in minimizing time and
cost or the maximization of the profit, quality and efficiency.
Also many real world problems arising in engineering, economics,
medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization. This book presents
recent advances in computational optimization. The volume includes
important real world problems like parameter settings for con-
trolling processes in bioreactor, robot skin wiring, strip packing,
project scheduling, tuning of PID controller and so on. Some of
them can be solved by applying traditional numerical methods, but
others need a huge amount of computational resources. For them it
is shown that is appropriate to develop algorithms based on
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming etc.
Our everyday life is unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many real
world and industrial problems arising in engineering, economics,
medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization 2013. It presents
recent advances in computational optimization. The volume includes
important real life problems like parameter settings for
controlling processes in bioreactor, resource constrained project
scheduling, problems arising in transport services, error
correcting codes, optimal system performance and energy consumption
and so on. It shows how to develop algorithms for them based on new
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming and others.
Optimization is part of our everyday life. We try to organize our
work in a better way and optimization occurs in minimizing time and
cost or the maximization of the profit, quality and efficiency.
Also many real world problems arising in engineering, economics,
medicine and other domains can be formulated as optimization tasks.
This volume is a comprehensive collection of extended contributions
from the Workshop on Computational Optimization. This book presents
recent advances in computational optimization. The volume includes
important real world problems like parameter settings for con-
trolling processes in bioreactor, robot skin wiring, strip packing,
project scheduling, tuning of PID controller and so on. Some of
them can be solved by applying traditional numerical methods, but
others need a huge amount of computational resources. For them it
is shown that is appropriate to develop algorithms based on
metaheuristic methods like evolutionary computation, ant colony
optimization, constrain programming etc.
This book presents recent advances in computational optimization.
Our everyday life is unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many
real-world and industrial problems arising in engineering,
economics, medicine and other domains can be formulated as
optimization tasks. The book is a comprehensive collection of
extended contributions from the Workshops on Computational
Optimization 2020. The book includes important real problems like
modeling of physical processes, workforce planning, parameter
settings for controlling different processes, transportation
problems, wireless sensor networks, machine scheduling, air
pollution modeling, solving multiple integrals and systems of
differential equations which describe real processes, solving
engineering problems. It shows how to develop algorithms for them
based on new intelligent methods like evolutionary computations,
ant colony optimization, constrain programming and others. This
research demonstrates how some real-world problems arising in
engineering, economics and other domains can be formulated as
optimization problems.
This book presents recent advances in computational optimization.
Our everyday life is unthinkable without optimization. We try to
minimize our effort and to maximize the achieved profit. Many
real-world and industrial problems arising in engineering,
economics, medicine and other domains can be formulated as
optimization tasks. The book is a comprehensive collection of
extended contributions from the Workshops on Computational
Optimization 2020. The book includes important real problems like
modeling of physical processes, workforce planning, parameter
settings for controlling different processes, transportation
problems, wireless sensor networks, machine scheduling, air
pollution modeling, solving multiple integrals and systems of
differential equations which describe real processes, solving
engineering problems. It shows how to develop algorithms for them
based on new intelligent methods like evolutionary computations,
ant colony optimization, constrain programming and others. This
research demonstrates how some real-world problems arising in
engineering, economics and other domains can be formulated as
optimization problems.
Our everyday lives are practically unthinkable without
optimization. We constantly try to minimize our effort and to
maximize the reward or progress achieved. Many real-world and
industrial problems arising in engineering, economics, medicine and
other domains can be formulated as optimization tasks. This volume
presents a comprehensive collection of extended contributions from
the 2017 Workshop on Computational Optimization. Presenting recent
advances in computational optimization, it addresses important
concrete applications, e.g. the modeling of physical processes,
wildfire modeling, modeling processes in chemical engineering,
workforce planning, wireless access network topology, parameter
settings for controlling various processes, berth allocation,
identification of homogeneous domains, and quantum computing. The
book shows how to develop algorithms for them based on new
intelligent methods like evolutionary computations, ant colony
optimization, constrain programming and others.
This book presents recent advances in computational optimization.
The book includes important real problems like modeling of physical
processes, parameter settings for controlling different processes,
transportation problems, machine scheduling, air pollution
modeling, solving multiple integrals and systems of differential
and integral equations which describe real processes, solving
engineering and financial problems. It shows how to develop
algorithms for them based on new intelligent methods like
evolutionary computations, ant colony optimization, constrain
programming Monte Carlo method and others. This research
demonstrates how some real-world problems arising in engineering,
economics and other domains can be formulated as optimization
problems.
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Numerical Methods and Applications - 8th International Conference, NMA 2014, Borovets, Bulgaria, August 20-24, 2014, Revised Selected Papers (Paperback, 2015 ed.)
Ivan Dimov, Stefka Fidanova, Ivan Lirkov
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R2,517
Discovery Miles 25 170
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 8th International Conference on Numerical
Methods and Applications, NMA 2014, held in Borovets, Bulgaria, in
August 2014. The 34 revised full papers presented were carefully
reviewed and selected from 56 submissions for inclusion in this
book. The papers are organized in the following topical sections:
Monte Carlo and quasi-Monte Carlo methods; metaheuristics for
optimization problems; advanced numerical methods for scientific
computing; advanced numerical techniques for PDEs and applications;
solving large engineering and scientific problems with advanced
mathematical models; numerical simulations and back analysis in
civil and mechanical engineering.
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