CONSTRAINT PROGRAMMING FOR OPTIMAL DESIGN OF ARCHITECTURES FOR WATER DISTRIBUTION TANKS AND RESERVOIRS: A CASE STUDY

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Date

2014

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Volume Title

Publisher

Univ Osijek, Tech Fac

Research Projects

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Organizational Unit
Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

A water distribution system is an essential component of any urban infrastructure system. Its design is commonly a hard task mainly due to the presence of several complex interrelated parameters. Among others, some parameters to study are the water demand, pressure requirements, topography, location of resources, system reliability, and energy uses. In this paper, we focus on a real case of water distribution system in order to minimize installation costs by satisfying the given system requirements. We solve the problem by using state-of-the-art Constraint Programming techniques combined with Interval Analysis for rigorously handling continuous decision variables. Experimental results demonstrate the feasibility of the proposed approach, where the global optimum is reached in all instances and in reasonable runtime.

Description

Crawford, Broderick/0000-0001-5500-0188; Soto, Ricardo/0000-0002-5755-6929; Misra, Sanjay/0000-0002-3556-9331; Palma, Wenceslao/0000-0002-7232-0412

Keywords

constraint programming, optimization, water distribution

Turkish CoHE Thesis Center URL

Citation

2

WoS Q

Q4

Scopus Q

Q3

Source

Volume

21

Issue

1

Start Page

99

End Page

105

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