Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey
Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a va...
Ausführliche Beschreibung
Autor*in: |
Khan, Salman A. [verfasserIn] Rehman, Shafiqur [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Renewable & sustainable energy reviews - Amsterdam [u.a.] : Elsevier Science, 1997, 19, Seite 370-384 |
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Übergeordnetes Werk: |
volume:19 ; pages:370-384 |
DOI / URN: |
10.1016/j.rser.2012.11.040 |
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Katalog-ID: |
ELV00605384X |
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10.1016/j.rser.2012.11.040 doi (DE-627)ELV00605384X (ELSEVIER)S1364-0321(12)00652-1 DE-627 ger DE-627 rda eng 620 DE-600 52.56 bkl Khan, Salman A. verfasserin aut Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey 2012 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design Rehman, Shafiqur verfasserin aut Enthalten in Renewable & sustainable energy reviews Amsterdam [u.a.] : Elsevier Science, 1997 19, Seite 370-384 Online-Ressource (DE-627)320599035 (DE-600)2019940-5 (DE-576)25948511X 1879-0690 nnns volume:19 pages:370-384 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 19 370-384 |
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10.1016/j.rser.2012.11.040 doi (DE-627)ELV00605384X (ELSEVIER)S1364-0321(12)00652-1 DE-627 ger DE-627 rda eng 620 DE-600 52.56 bkl Khan, Salman A. verfasserin aut Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey 2012 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design Rehman, Shafiqur verfasserin aut Enthalten in Renewable & sustainable energy reviews Amsterdam [u.a.] : Elsevier Science, 1997 19, Seite 370-384 Online-Ressource (DE-627)320599035 (DE-600)2019940-5 (DE-576)25948511X 1879-0690 nnns volume:19 pages:370-384 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 19 370-384 |
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10.1016/j.rser.2012.11.040 doi (DE-627)ELV00605384X (ELSEVIER)S1364-0321(12)00652-1 DE-627 ger DE-627 rda eng 620 DE-600 52.56 bkl Khan, Salman A. verfasserin aut Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey 2012 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design Rehman, Shafiqur verfasserin aut Enthalten in Renewable & sustainable energy reviews Amsterdam [u.a.] : Elsevier Science, 1997 19, Seite 370-384 Online-Ressource (DE-627)320599035 (DE-600)2019940-5 (DE-576)25948511X 1879-0690 nnns volume:19 pages:370-384 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 19 370-384 |
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10.1016/j.rser.2012.11.040 doi (DE-627)ELV00605384X (ELSEVIER)S1364-0321(12)00652-1 DE-627 ger DE-627 rda eng 620 DE-600 52.56 bkl Khan, Salman A. verfasserin aut Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey 2012 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design Rehman, Shafiqur verfasserin aut Enthalten in Renewable & sustainable energy reviews Amsterdam [u.a.] : Elsevier Science, 1997 19, Seite 370-384 Online-Ressource (DE-627)320599035 (DE-600)2019940-5 (DE-576)25948511X 1879-0690 nnns volume:19 pages:370-384 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 19 370-384 |
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10.1016/j.rser.2012.11.040 doi (DE-627)ELV00605384X (ELSEVIER)S1364-0321(12)00652-1 DE-627 ger DE-627 rda eng 620 DE-600 52.56 bkl Khan, Salman A. verfasserin aut Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey 2012 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design Rehman, Shafiqur verfasserin aut Enthalten in Renewable & sustainable energy reviews Amsterdam [u.a.] : Elsevier Science, 1997 19, Seite 370-384 Online-Ressource (DE-627)320599035 (DE-600)2019940-5 (DE-576)25948511X 1879-0690 nnns volume:19 pages:370-384 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_165 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 19 370-384 |
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Khan, Salman A. ddc 620 bkl 52.56 misc Genetic algorithms misc Iterative heuristics misc Optimization methods misc Swarm intelligence misc Wind farm layout design Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey |
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620 DE-600 52.56 bkl Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey Genetic algorithms Iterative heuristics Optimization methods Swarm intelligence Wind farm layout design |
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iterative non-deterministic algorithms in on-shore wind farm design: a brief survey |
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Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey |
abstract |
Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. |
abstractGer |
Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. |
abstract_unstemmed |
Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem. |
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Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. 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score |
7.400732 |