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Application of non-animal–inspired evolutionary algorithms to reservoir operation: an overview
2019
Environmental Monitoring & Assessment
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Evolutionary algorithms (EAs) have been widely used to search for optimal strategies for the planning and management of water resources systems, particularly reservoir operation. ...
This study provides a comprehensive diagnostic assessment of state of the art of the non-animal-inspired EA applications to reservoir optimization. ...
Yang et al. (2007) applied the MOGA to a multi-reservoir system for water supply. ...
doi:10.1007/s10661-019-7581-2
fatcat:ojmf6m2ndbdltcj6ydl5cm6awm
A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources
2022
Water Science and Technology : Water Supply
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Hybridization, modifications, and algorithm variants are reported to be the most successful for improving optimization techniques. ...
This paper's main contribution is to show the state-of-the-art of heuristic and metaheuristic optimization techniques in water resource management. ...
Section of Water Resources Engineering. ...
doi:10.2166/ws.2022.010
fatcat:25qy2wnnxrfffprx7qlmox7qti
Numerical simulation and optimization of CO 2 utilization for enhanced oil recovery from depleted reservoirs
2016
Chemical Engineering Science
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I would also like to thank James Biagi for sharing his working knowledge of the GA optimization module. ...
Earlier work on the GA optimization module performed by Morgan Brandon and Zheming Zhang has also been very helpful. ...
Chapter 3
Simulation and Optimization of Enhanced Oil Recovery Systems The following sections describe the simulation and optimization of a benchmark EOR system for CFD validation and an industrial scale ...
doi:10.1016/j.ces.2016.01.021
fatcat:e6lt6yadhjfb3loj65fyr4lphi
Multiple-Reservoir Scheduling Using β-Hill Climbing Algorithm
2017
Journal of Intelligent Systems
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AbstractThe multi-reservoir systems optimization problem requires defining a set of rules to recognize the water amount stored and released in accordance with the system constraints. ...
Traditional methods are not suitable for complex multi-reservoir systems with high dimensionality. ...
The SAs used to tackle MROPs are ant colony optimization [21, 26] , honey bee mating optimization [18] , particle swarm optimization [25] , bat algorithm [6, 13] , water cycle algorithm [19] , and ...
doi:10.1515/jisys-2017-0159
fatcat:ppvoj6lqmzfmvlutfzu7dpm3zm
A Heuristic Dynamically Dimensioned Search with Sensitivity Information (HDDS-S) and Application to River Basin Management
2015
Water
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River basin simulation and multi-reservoir optimal operation have been critical for river basin management. ...
Due to the intense interaction between human activities and river basin systems, the river basin model and multi-reservoir operation model are complicated with a large number of parameters. ...
Acknowledgments This study was supported by the China Postdoctoral Science Foundation Grants (2014M561231), and National Natural Science Foundation of China Grants (51409043). ...
doi:10.3390/w7052214
fatcat:5tkxoz2wbvfyjg5rxwanlpu3g4
A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
2019
Sustainability
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Hence, the proposed NHA as an intelligence model could contribute to providing reliable solutions for complex multi-purpose reservoir systems to optimize the operation rule for similar reservoir systems ...
The proposed hybrid modelling method was applied for the multi-purpose reservoir system of Bhadra Dam, which is located in the state of Karnataka, India. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/su11071953
fatcat:uldbnfgm3zcdlblhoojnq7bx6u
Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
2021
IEEE Access
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INDEX TERMS Meta-heuristic algorithm, reservoir operation, optimization, water resources management. ACRONYMS ...
One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand patterns such as hydropower generation. ...
One of these algorithms is the water cycle algorithm (WCA). Reference [47] applied the WCA to optimize a multi-reservoir system in Iran. ...
doi:10.1109/access.2021.3054424
fatcat:hsbnjy5a3bhhpawfjkuzctvxly
Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review
2021
IEEE Access
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This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades. ...
Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization ...
Ltd. and Shark Innovation Labs for sponsoring in establishing the Power Systems Simulation Research Lab at University of Engineering and Technology, Lahore. This research was conducted in this lab. ...
doi:10.1109/access.2021.3055292
fatcat:xnb7xfhvgbht3diqqnht633b6u
Optimization of CO2 Sequestration in Saline Aquifers
[chapter]
2014
CO2 Sequestration and Valorization
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Acknowledgements Financial support for this work was provided by the Consortium for Clean Coal Utilization CCCU at Washington University in St. Louis, MO, US".
Author details ...
Performance optimization of a multi-well system It is likely that only a system of multiple injection wells would deliver enough injectivity for industrial level S"GCS. ...
Introduction For optimization of geological carbon sequestration GCS in saline aquifers, a genetic algorithm G" based optimizer has been developed and combined with the DOE multi-phase flow and heat transfer ...
doi:10.5772/57066
fatcat:mmydnqsbsvbkhn7it7abrqfdom
An Application of Artificial Bee Colony Algorithm for Reservoir Optimization: A Case Study of Chenderoh Dam, Malaysia
English
2016
International Journal of Advances in Agricultural & Environmental Engineering
English
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release policy for optimal operation. ...
Due to its capability to identify different possible events happened in the reservoir, the proposed algorithm provided promising solutions which minimize the water deficit in the operating system. ...
ACKNOWLEDGMENT The authors would like to express sincere appreciation to the Generation Department of Tenaga Nasional Berhad Malaysia (TNB) for proving the relevant data and their kind cooperation in this ...
doi:10.15242/ijaaee.u0516306
fatcat:nw2fgkug3zdrbd2fl6qedenajy
A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control
2016
Advances in Water Resources
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Overall, EMODPS poses a promising method for discovering key reservoir management tradeoffs; however algorithmic choice remains a key concern for problems of increasing complexity. ...
Keywords: multi-purpose reservoir control, direct policy search, multi-objective evolutionary algorithm benchmark 45 methods, multi-objective evolutionary algorithms (MOEAs) have been demonstrated to be ...
180 networks, and multi-objective evolutionary optimization to discover Pareto approximate control policies for multi-purpose reservoir systems. ...
doi:10.1016/j.advwatres.2016.04.006
fatcat:jc2w62xbsrbvxbjh3iyeskj7fy
Economic Dispatch Optimization of Multi-Water Resources: A Case Study of an Island in South Korea
2019
Sustainability
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This optimization framework can be useful for areas where water must be secured in the event of emergency. ...
To strengthen water security and to meet multiple water demands with marginal quality, the optimized selection of locally available, diversified multi-water resources is necessary. ...
Acknowledgments: The authors would like to thank Jung Lyul Lee, Min Ha Choi and KangMin Koo, Graduate School of Water Resources, Sungkyunkwan University, Korea for their valuable suggestions and advice ...
doi:10.3390/su11215964
fatcat:azaniclkenbarfiy62udlqkmny
Multi-objective Planning for Conjunctive Use of Surface and Subsurface Water Using Genetic Algorithm and Dynamics Programming
2008
Water resources management
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Finally, the effectiveness of our proposed integrated model is verified by solving a water resources planning problem for the conjunctive use of surface and subsurface water in southern Taiwan. ...
The CDDP optimization model is then adopted to distribute the optimal releases among reservoirs provided that reservoir capacities are known. ...
and management constraints, and to arrive at an optimal cropping pattern for optimal use of water resources for maximization of net benefits. ...
doi:10.1007/s11269-008-9281-5
fatcat:hyyqcgzopffzborsyidqcblady
Multi-objective optimization of water distribution networks: An overview
2020
International Journal of Advanced and Applied Sciences
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The distribution network is an essential part of all urban water supply systems that require efficient design and operation, which may be achieved through the effective application of optimization methods ...
This article provides a brief overview of the most approached method, models, and numerical examples for multi-objective optimization of water distribution networks (WDNs) design and operation. ...
Conflict of interest The authors declare that they have no conflict of interest. ...
doi:10.21833/ijaas.2020.11.008
fatcat:5jr4o3rc6fev7mr4ljkepjaxsa
A novel strategy of pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO)
2009
Computers and Mathematics with Applications
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Finally, the multi-objective optimal regulation of cascade reservoirs is successfully solved by the proposed algorithm. ...
In multi-objective particle swarm optimization (MOPSO) algorithms, finding the global optimal particle (gBest) for each particle of the swarm from a set of non-dominated solutions is very difficult yet ...
Experiments have shown that this algorithm, which can find solutions with good diversity and convergence, is an efficient approach for solving complex multi-objective optimization problems. ...
doi:10.1016/j.camwa.2008.10.009
fatcat:hktksmeql5hrhb7kzl7tzauu5q
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