Evolutionary Computation for Single and Multiobjective Water Distribution Systems Optimal Design: Review of Some Recent Applied Methodologies

Evolutionary Computation for Single and Multiobjective Water Distribution Systems Optimal Design: Review of Some Recent Applied Methodologies

Avi Ostfeld (Technion-Israel Institute of Technology, Israel)
DOI: 10.4018/978-1-61520-907-1.ch016
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Abstract

Water distribution systems least cost pipe sizing/design is probably the most explored problem in water distribution systems optimization. Attracted numerous studies over the last four decades, two main approaches were employed: decomposition in which an “inner” linear programming problem is solved for a fixed set of flows/heads, while the flows/heads are altered at an “outer” problem using a gradient or a sub-gradient type technique; and the utilization of an evolutionary optimization algorithm (e.g., a genetic algorithm). In reality, however, from a broader perspective the design problem is inherently of a multiobjective nature incorporating competing objectives such as minimizing cost versus maximizing reliability. This chapter reviews some of the literature on single and multiobjective optimal design of water distribution systems and suggests a few future research directions in this area.
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Background

This section is a brief literature review on a number of single and multiobjective optimal design studies of water distribution systems.

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