Optimising the design of sewer networks using genetic algorithms and tabu search
This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes mu...
Ausführliche Beschreibung
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2004 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Reproduktion: |
Emerald Fulltext Archive Database 1994-2005 |
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| Übergeordnetes Werk: |
In: Engineering, construction and architectural management - Oxford : Wiley-Blackwell, 1994, 11(2004), 2, Seite 101-112 |
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volume:11 ; year:2004 ; number:2 ; pages:101-112 ; extent:12 |
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10.1108/09699980410527849 |
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| 520 | |a This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. | ||
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| 650 | 4 | |a Waste disposal | |
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| 700 | 1 | |a Liang, Lou Y. |4 oth | |
| 700 | 1 | |a Thompson, Russell G. |4 oth | |
| 700 | 1 | |a Young, David M. |4 oth | |
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10.1108/09699980410527849 doi (DE-627)NLEJ219954208 DE-627 ger DE-627 rakwb eng XA-GB Optimising the design of sewer networks using genetic algorithms and tabu search 2004 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. Emerald Fulltext Archive Database 1994-2005 Optimization techniques Programming and algorithm theory Waste disposal Water Liang, Lou Y. oth Thompson, Russell G. oth Young, David M. oth In Engineering, construction and architectural management Oxford : Wiley-Blackwell, 1994 11(2004), 2, Seite 101-112 Online-Ressource (DE-627)NLEJ219578494 (DE-600)2020204-0 1365-232X nnns volume:11 year:2004 number:2 pages:101-112 extent:12 http://dx.doi.org/10.1108/09699980410527849 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 11 2004 2 101-112 12 |
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10.1108/09699980410527849 doi (DE-627)NLEJ219954208 DE-627 ger DE-627 rakwb eng XA-GB Optimising the design of sewer networks using genetic algorithms and tabu search 2004 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. Emerald Fulltext Archive Database 1994-2005 Optimization techniques Programming and algorithm theory Waste disposal Water Liang, Lou Y. oth Thompson, Russell G. oth Young, David M. oth In Engineering, construction and architectural management Oxford : Wiley-Blackwell, 1994 11(2004), 2, Seite 101-112 Online-Ressource (DE-627)NLEJ219578494 (DE-600)2020204-0 1365-232X nnns volume:11 year:2004 number:2 pages:101-112 extent:12 http://dx.doi.org/10.1108/09699980410527849 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 11 2004 2 101-112 12 |
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10.1108/09699980410527849 doi (DE-627)NLEJ219954208 DE-627 ger DE-627 rakwb eng XA-GB Optimising the design of sewer networks using genetic algorithms and tabu search 2004 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. Emerald Fulltext Archive Database 1994-2005 Optimization techniques Programming and algorithm theory Waste disposal Water Liang, Lou Y. oth Thompson, Russell G. oth Young, David M. oth In Engineering, construction and architectural management Oxford : Wiley-Blackwell, 1994 11(2004), 2, Seite 101-112 Online-Ressource (DE-627)NLEJ219578494 (DE-600)2020204-0 1365-232X nnns volume:11 year:2004 number:2 pages:101-112 extent:12 http://dx.doi.org/10.1108/09699980410527849 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 11 2004 2 101-112 12 |
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10.1108/09699980410527849 doi (DE-627)NLEJ219954208 DE-627 ger DE-627 rakwb eng XA-GB Optimising the design of sewer networks using genetic algorithms and tabu search 2004 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. Emerald Fulltext Archive Database 1994-2005 Optimization techniques Programming and algorithm theory Waste disposal Water Liang, Lou Y. oth Thompson, Russell G. oth Young, David M. oth In Engineering, construction and architectural management Oxford : Wiley-Blackwell, 1994 11(2004), 2, Seite 101-112 Online-Ressource (DE-627)NLEJ219578494 (DE-600)2020204-0 1365-232X nnns volume:11 year:2004 number:2 pages:101-112 extent:12 http://dx.doi.org/10.1108/09699980410527849 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 11 2004 2 101-112 12 |
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10.1108/09699980410527849 doi (DE-627)NLEJ219954208 DE-627 ger DE-627 rakwb eng XA-GB Optimising the design of sewer networks using genetic algorithms and tabu search 2004 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. Emerald Fulltext Archive Database 1994-2005 Optimization techniques Programming and algorithm theory Waste disposal Water Liang, Lou Y. oth Thompson, Russell G. oth Young, David M. oth In Engineering, construction and architectural management Oxford : Wiley-Blackwell, 1994 11(2004), 2, Seite 101-112 Online-Ressource (DE-627)NLEJ219578494 (DE-600)2020204-0 1365-232X nnns volume:11 year:2004 number:2 pages:101-112 extent:12 http://dx.doi.org/10.1108/09699980410527849 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 11 2004 2 101-112 12 |
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This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. |
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This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. |
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This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ219954208</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707095610.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">090811s2004 xxk|||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1108/09699980410527849</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ219954208</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XA-GB</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Optimising the design of sewer networks using genetic algorithms and tabu search</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper describes the application of heuristic techniques for designing gravity wastewater collection systems. Designing sewer networks can be a time-consuming task that is largely based on trial and error where suitable pipe diameters and slopes combinations for all pipelines between manholes must be identified. Since there is a large range of possible slopes, diameters and roughness coefficients of pipes, only a small number of combinations of these parameters are usually analyzed in traditional design processes. Identifying a minimum cost design is an important issue when constructing sewer networks. In this paper, genetic algorithms and tabu search techniques are implemented to solve this difficult optimization problem. An adaptive rule and a dynamic search strategy were developed to assist the search procedures find better solutions.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Emerald Fulltext Archive Database 1994-2005</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optimization techniques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programming and algorithm theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Waste disposal</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Water</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liang, Lou Y.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thompson, Russell G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Young, David M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Engineering, construction and architectural management</subfield><subfield code="d">Oxford : Wiley-Blackwell, 1994</subfield><subfield code="g">11(2004), 2, Seite 101-112</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ219578494</subfield><subfield code="w">(DE-600)2020204-0</subfield><subfield code="x">1365-232X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:11</subfield><subfield code="g">year:2004</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:101-112</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1108/09699980410527849</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-EFD</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">11</subfield><subfield code="j">2004</subfield><subfield code="e">2</subfield><subfield code="h">101-112</subfield><subfield code="g">12</subfield></datafield></record></collection>
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