Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 416

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Water Distribution Network Design Optimization: Simulated Annealing Approach

Cunha, Maria da Conceição, Sousa, Joaquim·1999·Journal of Water Resources Planning and Management
DOI 10.1061/(asce)0733-9496(1999)125:4(215

Abstract

A simulated annealing-based heuristic has been developed to obtain the least-cost design of a looped water distribution network. A Newton search method was used to solve the hydraulic network equations. Simulated annealing is a stochastic optimization method that can work well for large-scale optimization problems that are cast in discrete or combinatorial form, as with the problem proposed. The results obtained with this approach for networks currently appearing in the literature as case studies in this field (whose solution by other optimization methods was known) have proved the ability of the heuristic to handle this kind of problem.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1061/(asce)0733-9496(1999)125:4(215)

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Metadata

Authors
Cunha, M. D. C., & Sousa, J.
Venue
Journal of Water Resources Planning and Management
Published
1999-07
Volume
125
Issue
4
Pages
215-221
ISSN
  • 0733-9496 (ISSN-L)
  • 1943-5452
DOI
10.1061/(asce)0733-9496(1999)125:4(215
OpenAlex
W1983966343
Cited by
416
References
8
FWCI
14.42
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Water Distribution Network Design Optimization: Simulated Annealing Approach. https://app.cochat.ai/papers/10.1061/(asce)0733-9496(1999)125:4(215
The paper
Cunha, M. D. C., & Sousa, J. (1999). Water Distribution Network Design Optimization: Simulated Annealing Approach. Journal of Water Resources Planning and Management. https://doi.org/10.1061/(asce)0733-9496(1999)125%3A4(215

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.