Boosting Genetic Algorithm Performance in Pump Scheduling Problems with a Novel Decision-Variable Representation-Reference-Cited by-同舟云学术

Boosting Genetic Algorithm Performance in Pump Scheduling Problems with a Novel Decision-Variable Representation

Published:2020-05 Issue:5 Volume:146 Page:04020023
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Cimorelli Luigi¹^ORCID,D’Aniello Andrea²^ORCID,Cozzolino Luca³

Affiliation:

1. Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, Napoli 80125, Italy (corresponding author). ORCID: .

2. Research Fellow, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Naples Federico II, via Claudio 21, Napoli 80125, Italy. ORCID:

3. Associate Professor, Dept. of Engineering, Centro Direzionale di Napoli, Parthenope Univ. of Naples, Isola C4, Napoli 80143, Italy.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001198

Reference39 articles.

1. A robust approach based on time variable trigger levels for pump control

2. Andersen J. H. and R. S. Powell. 1999. “The use of continuous decision variables in an optimising fixed speed pump scheduling algorithm.” In Proc. 3rd Computing and Control for the Water Industry Int. Conf. edited by R. Powell and K. S. Hindi. Baldock UK: Research Study Press.

3. Evolutionary Computation 1

4. Evolutionary Computation 2

5. An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling

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