A Set of New Benchmark Optimization Problems for Water Resources Management
In this paper, we introduce four new benchmark problems, which are based on rather common optimization issues of water resources management. These problems have the following features: a) adjustable difficulty, to cover a wide range of common engineering problems b) physical background familiar to s...
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Veröffentlicht in: | Water resources management 2013-07, Vol.27 (9), p.3333-3348 |
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description | In this paper, we introduce four new benchmark problems, which are based on rather common optimization issues of water resources management. These problems have the following features: a) adjustable difficulty, to cover a wide range of common engineering problems b) physical background familiar to scientists working on water resources management c) known global optimal solution and known range of values of the objective function d) easy application and e) low computational volume (analytical solution of the respective groundwater flow model). First we calculate the optimal solutions of these problems and then we evaluate their difficulty and their suitability as benchmarking tools, based on theoretical considerations and on the performance of a genetic algorithm and a simulated annealing code in finding their optimal solutions. Results show that the proposed set of benchmark problems is useful for evaluating heuristic optimization codes in the field of water resources management. |
doi_str_mv | 10.1007/s11269-013-0350-z |
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These problems have the following features: a) adjustable difficulty, to cover a wide range of common engineering problems b) physical background familiar to scientists working on water resources management c) known global optimal solution and known range of values of the objective function d) easy application and e) low computational volume (analytical solution of the respective groundwater flow model). First we calculate the optimal solutions of these problems and then we evaluate their difficulty and their suitability as benchmarking tools, based on theoretical considerations and on the performance of a genetic algorithm and a simulated annealing code in finding their optimal solutions. 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Academic</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karpouzos, Dimitrios K.</au><au>Katsifarakis, Konstantinos L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Set of New Benchmark Optimization Problems for Water Resources Management</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2013-07-01</date><risdate>2013</risdate><volume>27</volume><issue>9</issue><spage>3333</spage><epage>3348</epage><pages>3333-3348</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><coden>WRMAEJ</coden><abstract>In this paper, we introduce four new benchmark problems, which are based on rather common optimization issues of water resources management. These problems have the following features: a) adjustable difficulty, to cover a wide range of common engineering problems b) physical background familiar to scientists working on water resources management c) known global optimal solution and known range of values of the objective function d) easy application and e) low computational volume (analytical solution of the respective groundwater flow model). First we calculate the optimal solutions of these problems and then we evaluate their difficulty and their suitability as benchmarking tools, based on theoretical considerations and on the performance of a genetic algorithm and a simulated annealing code in finding their optimal solutions. Results show that the proposed set of benchmark problems is useful for evaluating heuristic optimization codes in the field of water resources management.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-013-0350-z</doi><tpages>16</tpages></addata></record> |
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subjects | Annealing Aquifers Atmospheric Sciences Benchmarking Civil Engineering Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Exact sciences and technology Genetic algorithms Geotechnical Engineering & Applied Earth Sciences Groundwater Groundwater flow Heuristic Hydrogeology Hydrology. Hydrogeology Hydrology/Water Resources Mathematical analysis Mathematical models Methods Objective function Optimization Optimization techniques Resource management Simulated annealing Soil sciences Studies Water resources Water resources management |
title | A Set of New Benchmark Optimization Problems for Water Resources Management |
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