A5058871746- Water Systems and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Water resources management and optimization
- Metaheuristic Optimization Algorithms Research
- Water Quality Monitoring Technologies
- Hydrological Forecasting Using AI
- Scheduling and Timetabling Solutions
- Urban Stormwater Management Solutions
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Flood Risk Assessment and Management
- Cellular Automata and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Infrastructure Maintenance and Monitoring
- Gene Regulatory Network Analysis
- Geotechnical Engineering and Underground Structures
- Water Treatment and Disinfection
- Hydrology and Watershed Management Studies
- Machine Learning in Bioinformatics
- Smart Grid Energy Management
- Hydraulic flow and structures
- Tropical and Extratropical Cyclones Research
- Energy Load and Power Forecasting
University of Exeter
2016-2025
RAND Corporation
2024
RAND Europe
2024
Université de Haute-Alsace
2018
Singer (United States)
2005
To achieve fast flood modelling for large-scale problems, a two-dimensional cellular automata based model was developed. This employs simple transition rules and weight-based system rather than complex Shallow Water Equations. The simplified feature of allows the to be implemented in parallel environments, resulting significantly improved efficiency. has been tested using an analytical solution four case studies outputs were compared those from widely-used commercial physically-based...
The Battle of the Water Networks II (BWN-II) is latest a series competitions related to design and operation water distribution systems (WDSs) undertaken within Distribution Systems Analysis (WDSA) Symposium series. BWN-II problem specification involved broadly defined for an existing network that has be upgraded increased future demands, addition new development area. decisions parallel pipes, storage, operational controls pumps valves, sizing backup power supply. Design criteria hydraulic,...
With the increase in frequency and severity of flash flood events major cities around world, infrastructure people living those urban areas are exposed continuously to high risk levels pluvial flooding. The situation is likely be exacerbated by potential impact future climate change. A fast model could very useful for analysis. One-dimensional (1D) models provide limited information about flow dynamics whereas two-dimensional (2D) require substantial computational time cost, a factor that...
Leakage detection is one of the important aspects water distribution management. Water companies are exploring alternative approaches to detect leaks in a timely manner with high accuracy reduce losses and minimize environmental economic consequences. In this article, literature review presented develop step-by-step analytic framework for leakage process based on flow pressure data collected from networks. The main steps are: setting up goals, collection, preparing gathered data, analyzing...
Recent advances in biology (namely, DNA arrays) allow an unprecedented view of the biochemical mechanisms contained within a cell. However, this technology raises new challenges for computer scientists and biologists alike, as data created by these arrays is often highly complex. One elucidation regulatory connections interactions between genes, proteins other gene products. In paper, novel method described determining temporal expression using genetic algorithms combined with neural network...
In this paper we present the Markov chain Hyper-heuristic (MCHH), a novel online selective hyper-heuristic which employs reinforcement learning and chains to provide an adaptive heuristic selection method. Experiments are conducted demonstrate efficacy of method comparisons made with standard heuristics, random multi-objective from literature. The approaches compared on small number evaluations DTLZ test problems reflect computational limitations expensive optimisation problems. results MCHH...
Understanding leakage is an important challenge within the water sector to minimise waste, energy use and carbon emissions in distribution networks. Leakage usually approximated as minimum night flow for each District Metered Area (DMA). However, not all DMAs have instruments monitor directly, or main dynamic factors that contribute it. Therefore, here estimated by using recorded features of its pipes, making readily available asset data collected routinely companies. The problem interpreted...
This paper proposes a novel heuristic-based and cellular automata-inspired approach to the optimal design of water distribution networks. The networks is central importance industry, but many cannot be optimally designed by traditional techniques due their complexity. Genetic algorithms have become state-of-the-art technique for this purpose are hampered fact that they population based require large number model evaluations achieve good solutions. proposed uses parallel, localist, algorithm...
Optimal storm sewer design aims at minimizing capital investment on infrastructure whilst ensuring good system performance under specified criteria. An innovative approach based cellular automata (CA) principles is introduced in this paper. Cellular have been applied as computational simulation devices various scientific fields. However, some recent research has indicated that CA can also be a viable and efficient optimization engine. This engine heuristic largely relies the key properties...
Clostridium difficile infection poses a significant healthcare burden. However, the derivation of simple, evidence based prediction rule to assist patient management has not yet been described.Univariate, multivariate and decision tree procedures were used deduce from over 186 variables; retrospectively collated clinical data for 213 patients. The resulting was validated on independent cohort 158 patients described by Bhangu et al. (Colorectal Disease, 12(3):241-246, 2010).Serum albumin...
Genetic algorithms are currently one of the state-of-the-art meta-heuristic techniques for optimization large engineering systems such as design and rehabilitation water distribution networks. They capable finding near-optimal cost solutions to these problems given certain hydraulic parameters. Recently, multi-objective genetic have become prevalent in industry due conflicting nature objectives. The Pareto-front can aid decision makers it provides a set which be examined by experienced...
Abstract Combined Sewer Overflows (CSOs) are a major source of pollution and urban flooding, spilling untreated wastewater directly into water bodies the surrounding environment. If overflows can be predicted sufficiently in advance, then techniques available for mitigation. This paper presents novel bi-model committee evolutionary artificial neural network (CEANN) designed to forecast level CSO chamber from 15 min 6 h ahead using inputs past/current data, radar rainfall data forecasted...
This paper investigates control and design-for-control strategies to improve the resilience of sectorized water distribution networks (WDN), while minimizing pressure induced pipe stress leakage. Both evolutionary algorithms (EA) gradient-based mathematical optimization approaches are investigated for solution resulting large-scale non-linear (NLP) bi-objective mixed-integer programs (BOMINLP). While EAs have been successfully applied solve discrete network design problems WDNs, methods more...
With the availability of real-time monitoring data, leakage detection for water distribution networks (WDNs) based on data-driven methods has received increasing attention in recent years. Accurate forecasts historical data could provide valuable information about condition WDN, and abnormal events be detected if observed behavior is substantially different from typical behavior. Therefore, an accurate forecast model essential prediction-based methods. While most focus burst detection, it...