Use of Domain Knowledge to Increase the Convergence Rate of Evolutionary Algorithms for Optimizing the Cost and Resilience of Water Distribution Systems-Reference-Cited by-同舟云学术

Use of Domain Knowledge to Increase the Convergence Rate of Evolutionary Algorithms for Optimizing the Cost and Resilience of Water Distribution Systems

Published:2016-09 Issue:9 Volume:142 Page:04016027
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Bi Weiwei¹,Dandy Graeme C.²,Maier Holger R.²

Affiliation:

1. Ph.D. Student, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author).

2. Professor, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

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.1943-5452.0000649

Reference41 articles.

1. Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge

2. Fast network multi-objective design algorithm combined with an a posteriori procedure for reliability evaluation under various operational scenarios

3. An efficient constraint handling method for genetic algorithms

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

5. A genetic algorithm calibration method based on convergence due to genetic drift

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimum Model-Based Design of Diagnostics Experiments (DOE) with Hybrid Pulse Power Characterization (HPPC) for Lithium-Ion Batteries;Journal of The Electrochemical Society;2024-07-01

2. Resilience assessment of water distribution networks – Bibliometric analysis and systematic review;Journal of Hydrology;2022-04

3. Multi-objective Rao algorithm in resilience-based optimal design of water distribution networks;Water Supply;2022-02-17

4. Identification of metrics suitable for determining the features of real-world optimisation problems;Environmental Modelling & Software;2022-02

5. Risk-Informed Framework for Sewerage System Rehabilitation Management;Journal of Pipeline Systems Engineering and Practice;2021-05