Application of CBO and CSS for Resource Allocation and Resource Leveling Problem

Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project sche...
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Autor*in:	Khanzadi, M. [verfasserIn] Kaveh, A. Alipour, M. Karimi Aghmiuni, H.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Resource allocation Resource leveling problem Metaheuristic algorithms Colliding bodies optimization (CBO) Charged system search (CSS)

Anmerkung:	© Shiraz University 2016

Übergeordnetes Werk:	Enthalten in: Iranian journal of science and technology - Shiraz : Shiraz University, 2001, 40(2016), 1 vom: März, Seite 1-10
Übergeordnetes Werk:	volume:40 ; year:2016 ; number:1 ; month:03 ; pages:1-10

Links:	Volltext

DOI / URN:	10.1007/s40996-016-0004-5

Katalog-ID:	SPR038043750

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520			\|a Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms.
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650		4	\|a Resource leveling problem \|7 (dpeaa)DE-He213
650		4	\|a Metaheuristic algorithms \|7 (dpeaa)DE-He213
650		4	\|a Colliding bodies optimization (CBO) \|7 (dpeaa)DE-He213
650		4	\|a Charged system search (CSS) \|7 (dpeaa)DE-He213
700	1		\|a Kaveh, A. \|4 aut
700	1		\|a Alipour, M. \|4 aut
700	1		\|a Karimi Aghmiuni, H. \|4 aut
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allfields	10.1007/s40996-016-0004-5 doi (DE-627)SPR038043750 (SPR)s40996-016-0004-5-e DE-627 ger DE-627 rakwb eng Khanzadi, M. verfasserin aut Application of CBO and CSS for Resource Allocation and Resource Leveling Problem 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2016 Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213 Kaveh, A. aut Alipour, M. aut Karimi Aghmiuni, H. aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 40(2016), 1 vom: März, Seite 1-10 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:40 year:2016 number:1 month:03 pages:1-10 https://dx.doi.org/10.1007/s40996-016-0004-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 40 2016 1 03 1-10
spelling	10.1007/s40996-016-0004-5 doi (DE-627)SPR038043750 (SPR)s40996-016-0004-5-e DE-627 ger DE-627 rakwb eng Khanzadi, M. verfasserin aut Application of CBO and CSS for Resource Allocation and Resource Leveling Problem 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2016 Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213 Kaveh, A. aut Alipour, M. aut Karimi Aghmiuni, H. aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 40(2016), 1 vom: März, Seite 1-10 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:40 year:2016 number:1 month:03 pages:1-10 https://dx.doi.org/10.1007/s40996-016-0004-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 40 2016 1 03 1-10
allfields_unstemmed	10.1007/s40996-016-0004-5 doi (DE-627)SPR038043750 (SPR)s40996-016-0004-5-e DE-627 ger DE-627 rakwb eng Khanzadi, M. verfasserin aut Application of CBO and CSS for Resource Allocation and Resource Leveling Problem 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2016 Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213 Kaveh, A. aut Alipour, M. aut Karimi Aghmiuni, H. aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 40(2016), 1 vom: März, Seite 1-10 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:40 year:2016 number:1 month:03 pages:1-10 https://dx.doi.org/10.1007/s40996-016-0004-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 40 2016 1 03 1-10
allfieldsGer	10.1007/s40996-016-0004-5 doi (DE-627)SPR038043750 (SPR)s40996-016-0004-5-e DE-627 ger DE-627 rakwb eng Khanzadi, M. verfasserin aut Application of CBO and CSS for Resource Allocation and Resource Leveling Problem 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2016 Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213 Kaveh, A. aut Alipour, M. aut Karimi Aghmiuni, H. aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 40(2016), 1 vom: März, Seite 1-10 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:40 year:2016 number:1 month:03 pages:1-10 https://dx.doi.org/10.1007/s40996-016-0004-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 40 2016 1 03 1-10
allfieldsSound	10.1007/s40996-016-0004-5 doi (DE-627)SPR038043750 (SPR)s40996-016-0004-5-e DE-627 ger DE-627 rakwb eng Khanzadi, M. verfasserin aut Application of CBO and CSS for Resource Allocation and Resource Leveling Problem 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2016 Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213 Kaveh, A. aut Alipour, M. aut Karimi Aghmiuni, H. aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 40(2016), 1 vom: März, Seite 1-10 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:40 year:2016 number:1 month:03 pages:1-10 https://dx.doi.org/10.1007/s40996-016-0004-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 40 2016 1 03 1-10
language	English
source	Enthalten in Iranian journal of science and technology 40(2016), 1 vom: März, Seite 1-10 volume:40 year:2016 number:1 month:03 pages:1-10
sourceStr	Enthalten in Iranian journal of science and technology 40(2016), 1 vom: März, Seite 1-10 volume:40 year:2016 number:1 month:03 pages:1-10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Resource allocation Resource leveling problem Metaheuristic algorithms Colliding bodies optimization (CBO) Charged system search (CSS)
isfreeaccess_bool	false
container_title	Iranian journal of science and technology
authorswithroles_txt_mv	Khanzadi, M. @@aut@@ Kaveh, A. @@aut@@ Alipour, M. @@aut@@ Karimi Aghmiuni, H. @@aut@@
publishDateDaySort_date	2016-03-01T00:00:00Z
hierarchy_top_id	844238023
id	SPR038043750
language_de	englisch
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author	Khanzadi, M.
spellingShingle	Khanzadi, M. misc Resource allocation misc Resource leveling problem misc Metaheuristic algorithms misc Colliding bodies optimization (CBO) misc Charged system search (CSS) Application of CBO and CSS for Resource Allocation and Resource Leveling Problem
authorStr	Khanzadi, M.
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topic_title	Application of CBO and CSS for Resource Allocation and Resource Leveling Problem Resource allocation (dpeaa)DE-He213 Resource leveling problem (dpeaa)DE-He213 Metaheuristic algorithms (dpeaa)DE-He213 Colliding bodies optimization (CBO) (dpeaa)DE-He213 Charged system search (CSS) (dpeaa)DE-He213
topic	misc Resource allocation misc Resource leveling problem misc Metaheuristic algorithms misc Colliding bodies optimization (CBO) misc Charged system search (CSS)
topic_unstemmed	misc Resource allocation misc Resource leveling problem misc Metaheuristic algorithms misc Colliding bodies optimization (CBO) misc Charged system search (CSS)
topic_browse	misc Resource allocation misc Resource leveling problem misc Metaheuristic algorithms misc Colliding bodies optimization (CBO) misc Charged system search (CSS)
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title	Application of CBO and CSS for Resource Allocation and Resource Leveling Problem
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title_full	Application of CBO and CSS for Resource Allocation and Resource Leveling Problem
author_sort	Khanzadi, M.
journal	Iranian journal of science and technology
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author_browse	Khanzadi, M. Kaveh, A. Alipour, M. Karimi Aghmiuni, H.
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title_sort	application of cbo and css for resource allocation and resource leveling problem
title_auth	Application of CBO and CSS for Resource Allocation and Resource Leveling Problem
abstract	Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. © Shiraz University 2016
abstractGer	Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. © Shiraz University 2016
abstract_unstemmed	Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms. © Shiraz University 2016
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title_short	Application of CBO and CSS for Resource Allocation and Resource Leveling Problem
url	https://dx.doi.org/10.1007/s40996-016-0004-5
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author2	Kaveh, A. Alipour, M. Karimi Aghmiuni, H.
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doi_str	10.1007/s40996-016-0004-5
up_date	2024-07-03T15:53:21.858Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038043750</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328194929.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2016 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40996-016-0004-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038043750</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40996-016-0004-5-e</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="100" ind1="1" ind2=" "><subfield code="a">Khanzadi, M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Application of CBO and CSS for Resource Allocation and Resource Leveling Problem</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Shiraz University 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In construction projects, critical path method (CPM) has been mainly used for project scheduling and planning in the past. The main objective of CPM is to find critical activities and schedule the project in such a way that the project makespan is minimized. Resource allocation project scheduling problem has been one of the most popular issues among construction management researchers in the past decades. Resource leveling problem in the real world is also important and should be considered in the planning of a project. On the other side, since these two objectives have opposite goals in the projects, considering both of these objectives simultaneously has always been a challenging problem. In this paper, we try to solve these problems at the same time. For this purpose, two new metaheuristic algorithms so-called colliding body optimization and charged system search are utilized. Two case examples are solved to show the applicability and performance of the considered algorithms.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Resource allocation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Resource leveling problem</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Metaheuristic algorithms</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Colliding bodies optimization (CBO)</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Charged system search (CSS)</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kaveh, A.</subfield><subfield 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