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7 matches in All Departments
Water supply- and drainage systems and mixed water channel systems
are networks whose high dynamic is determined and/or affected by
consumer habits on drinking water on the one hand and by climate
conditions, in particular rainfall, on the other hand. According to
their size, water networks consist of hundreds or thousands of
system elements. Moreover, different types of decisions (continuous
and discrete) have to be taken in the water management. The
networks have to be optimized in terms of topology and operation by
targeting a variety of criteria. Criteria may for example be
economic, social or ecological ones and may compete with each
other. The development of complex model systems and their use for
deriving optimal decisions in water management is taking place at a
rapid pace. Simulation and optimization methods originating in
Operations Research have been used for several decades; usually
with very limited direct cooperation with applied mathematics. The
research presented here aims at bridging this gap, thereby opening
up space for synergies and innovation. It is directly applicable
for relevant practical problems and has been carried out in
cooperation with utility and dumping companies, infrastructure
providers and planning offices. A close and direct connection to
the practice of water management has been established by involving
application-oriented know-how from the field of civil engineering.
On the mathematical side all necessary disciplines were involved,
including mixed-integer optimization, multi-objective and facility
location optimization, numerics for cross-linked dynamic
transportation systems and optimization as well as control of
hybrid systems. Most of the presented research has been supported
by the joint project "Discret-continuous optimization of dynamic
water systems" of the federal ministry of education and research
(BMBF).
This text develops the mathematical implications of barriers to
the geometrical and analytical characteristics of continuous
location problems. The book will appeal to those working in
operations research and management science, and mathematicians
interested in optimization theory and its applications.
Ziel des Buches ist es, Grundlagen der Linearen Optimierung
einzufuhren und einige der klassischen polynomial losbaren Probleme
der Netzwerkoptimierung vorzustellen. Das Buch ist als Basis fur
zwei Lehrveranstaltungen, die im Modul "Optimierung" im
Bachelor-Studium angeboten werden, geeignet. Das Besondere dieses
Lehrbuches ist die Tatsache, dass die Textteile parallel auf
Deutsch und Englisch formuliert wurden, so dass neben der
Vermittlung des Grundwissens in mathematischer Optimierung auch
eine Einfuhrung ins Fachenglisch bzw. in die deutsche Sprache
stattfindet."
Growing transportation costs and tight delivery schedules mean that good located decisions are more crucial than ever in the success or failure of industrial and puplic projects. The development of realistic location models is an essential phase in every locational decision process. Especially when dealing with geometric representations of continuous (planar) location model problems, the goegraphical reality must be incorporated. This text develops the mathematical implications of barriers to the geometrical and analytical characteristics of continuous location problems. Besides their relevance in the application of location theoretic results, location problems with barriers are also very interesting from a mathematical point of view. The nonconvexity of distance measures in the presence of barriers leads to nonconvex optimization problems. Most of the classical methods in continuous location theory rely heaily on the convexity of the objective function and will thus fail in this context. On the other hand, general methods in global optimization capable of treating nonconvex problems ignore the geometric charateristics of the location problems considered. Theoretic as well as algorithmic approaches are utilized to overcome the described difficulties for the solution of location problems with barriers. Depending on the barrier shapes, the underlying distance measure, and type of objective function, different concepts are conceived to handle the nonconvexity of the problem. This book will appeal to those working in operations research and management science and mathematicians interested in optimization theory and its applications.
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Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings (Paperback, 1st ed. 2019)
Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, …
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R3,110
Discovery Miles 31 100
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 10th
International Conference on Evolutionary Multi-Criterion
Optimization, EMO 2019 held in East Lansing, MI, USA, in March
2019. The 59 revised full papers were carefully reviewed and
selected from 76 submissions. The papers are divided into 8
categories, each representing a key area of current interest in the
EMO field today. They include theoretical developments, algorithmic
developments, issues in many-objective optimization, performance
metrics, knowledge extraction and surrogate-based EMO,
multi-objective combinatorial problem solving, MCDM and interactive
EMO methods, and applications.
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Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Munster, Germany, March 19-22, 2017, Proceedings (Paperback, 1st ed. 2017)
Heike Trautmann, Gunter Rudolph, Kathrin Klamroth, Oliver Schutze, Margaret Wiecek, …
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R1,690
Discovery Miles 16 900
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 9th
International Conference on Evolutionary Multi-Criterion
Optimization, EMO 2017 held in Munster, Germany in March 2017. The
33 revised full papers presented together with 13 poster
presentations were carefully reviewed and selected from 72
submissions. The EMO 2017 aims to discuss all aspects of EMO
development and deployment, including theoretical foundations;
constraint handling techniques; preference handling techniques;
handling of continuous, combinatorial or mixed-integer problems;
local search techniques; hybrid approaches; stopping criteria;
parallel EMO models; performance evaluation; test functions and
benchmark problems; algorithm selection approaches; many-objective
optimization; large scale optimization; real-world applications;
EMO algorithm implementations.
Water supply- and drainage systems and mixed water channel systems
are networks whose high dynamic is determined and/or affected by
consumer habits on drinking water on the one hand and by climate
conditions, in particular rainfall, on the other hand. According to
their size, water networks consist of hundreds or thousands of
system elements. Moreover, different types of decisions (continuous
and discrete) have to be taken in the water management. The
networks have to be optimized in terms of topology and operation by
targeting a variety of criteria. Criteria may for example be
economic, social or ecological ones and may compete with each
other. The development of complex model systems and their use for
deriving optimal decisions in water management is taking place at a
rapid pace. Simulation and optimization methods originating in
Operations Research have been used for several decades; usually
with very limited direct cooperation with applied mathematics. The
research presented here aims at bridging this gap, thereby opening
up space for synergies and innovation. It is directly applicable
for relevant practical problems and has been carried out in
cooperation with utility and dumping companies, infrastructure
providers and planning offices. A close and direct connection to
the practice of water management has been established by involving
application-oriented know-how from the field of civil engineering.
On the mathematical side all necessary disciplines were involved,
including mixed-integer optimization, multi-objective and facility
location optimization, numerics for cross-linked dynamic
transportation systems and optimization as well as control of
hybrid systems. Most of the presented research has been supported
by the joint project "Discret-continuous optimization of dynamic
water systems" of the federal ministry of education and research
(BMBF).
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