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Flooding in urbanized areas has become a very important issue
around the world. The level of service (or performance) of urban
drainage systems (UDS) degrades in time for a number of reasons. In
order to maintain an acceptable performance of UDS, early
rehabilitation plans must be developed and implemented. In
developing countries the situation is serious, little investment is
done and there are smaller funds each year for rehabilitation. The
allocation of such funds must be "optimal" in providing value for
money. However this task is not easy to achieve due to the
multicriteria nature of the rehabilitation process, taking into
account technical, environmental and social interests. Most of the
time these are conflicting, which make it a highly demanding task.
This book introduces a framework to deal with multicriteria
decision making for the rehabilitation of urban drainage systems,
and focuses on several aspects such as the improvement of the
performance of the multicriteria optimization through the inclusion
of new features in the algorithms and the proper selection of
performance criteria. The use of Genetic Algorithms,
parallelization and application in countries like Brazil, Colombia
and Venezuela are treated in this book.
Flooding in urbanized areas has become a very important issue
around the world. The level of service (or performance) of urban
drainage systems (UDS) degrades in time for a number of reasons. In
order to maintain an acceptable performance of UDS, early
rehabilitation plans must be developed and implemented. In
developing countries the situation is serious, little investment is
done and there are smaller funds each year for rehabilitation. The
allocation of such funds must be "optimal" in providing value for
money. However this task is not easy to achieve due to the
multicriteria nature of the rehabilitation process, taking into
account technical, environmental and social interests. Most of the
time these are conflicting, which make it a highly demanding task.
This book introduces a framework to deal with multicriteria
decision making for the rehabilitation of urban drainage systems,
and focuses on several aspects such as the improvement of the
performance of the multicriteria optimization through the inclusion
of new features in the algorithms and the proper selection of
performance criteria. The use of Genetic Algorithms,
parallelization and application in countries like Brazil, Colombia
and Venezuela are treated in this book.
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