title = "Prioritizing Pipe Replacement: From Multiobjective
Genetic Algorithms to Operational Decision Support",
journal = "Journal of Water Resources Planning and Management",
year = "2009",
volume = "135",
number = "6",
pages = "484--492",
month = nov,
keywords = "genetic algorithms, genetic programming, Decision
support systems, Water distribution systems, Water
pipelines, Multiple objective analysis, Replacement,
Rehabilitation",
ISSN = "0733-9496",
DOI = "doi:10.1061/(ASCE)0733-9496(2009)135:6(484)",
size = "9 pages",
abstract = "Deterioration of water distribution systems and the
optimal allocation of limited funds for their
rehabilitation represent crucial challenges for water
utility managers. Decision makers should be provided
with a set of informed solutions to select the best
rehabilitation plan with regard to available resources
and management strategies. In a risk-based scenario,
such an approach should result in an element-wise
prioritisation scheme based on individual pipe
rehabilitation/replacement effectiveness. This
manuscript describes a framework for devising a
short-term decision support tool for pipe replacement.
The approach allows for the introduction of economic,
technical, and management rationales as separate
objectives to produce a pipe-wise prioritisation scheme
which is achieved by ranking pipes selected during a
multiobjective (MO) evolutionary optimisation of
replacement scenarios. Such a procedure helps overcome
the doubts in choosing among the solutions obtained by
MO evolutionary optimization due to the diverse sets of
pipes selected for replacement even when they are
economically comparable. The effectiveness of the
entire framework is demonstrated on a real U.K. water
distribution system.",
notes = "Publisher: ASCE, American Society of Civil
Engineers.