Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system

The workflow scheduling with multiple objectives is a well-known NP-complete problem, and even more complex and challenging when the workflow is executed in cloud computing system. In this study, an endocrine-based coevolutionary multi-swarm for multi-objective optimization algorithm (ECMSMOO) is pr...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 21; H. 15; S. 4309 - 4322
Hauptverfasser:	Yao, Guangshun, Ding, Yongsheng, Jin, Yaochu, Hao, Kuangrong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2017 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cloud computing Computational Intelligence Computer centers Control Cooperation Customer services Design Employment Energy consumption Engineering Heuristic methods Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Objectives Optimization Particle swarm optimization Performance enhancement Resource scheduling Robotics Scheduling Task scheduling Workflow Multi-swarm Multi-objective workflow scheduling Endocrine regulation mechanism Cloud computing system Particle swarm optimization
ISSN:	1432-7643, 1433-7479
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Abstract	The workflow scheduling with multiple objectives is a well-known NP-complete problem, and even more complex and challenging when the workflow is executed in cloud computing system. In this study, an endocrine-based coevolutionary multi-swarm for multi-objective optimization algorithm (ECMSMOO) is proposed to satisfy multiple scheduling conflicting objectives, such as the total execution time (makespan), cost, and energy consumption. To avoid the influence of elastic available resources, a manager server is adopted to collect the available resources for scheduling. In ECMSMOO, multi-swarms are adopted and each swarm employs improved multi-objective particle swarm optimization to find out non-dominated solutions with one objective. To avoid falling into local optima which is common in traditional heuristic algorithms, an endocrine-inspired mechanism is embedded in the particles’ evolution process. Furthermore, a competition and cooperation technique among swarms is designed in the ECMSMOO. All these strategies effectively improve the performance of ECMSMOO. We compare the quality of the proposed method with other algorithms for multi-objective task scheduling by hybrid and parallel workflow jobs. The results highlight the better performance of the proposed approach than that of the compared algorithms.
AbstractList	The workflow scheduling with multiple objectives is a well-known NP-complete problem, and even more complex and challenging when the workflow is executed in cloud computing system. In this study, an endocrine-based coevolutionary multi-swarm for multi-objective optimization algorithm (ECMSMOO) is proposed to satisfy multiple scheduling conflicting objectives, such as the total execution time (makespan), cost, and energy consumption. To avoid the influence of elastic available resources, a manager server is adopted to collect the available resources for scheduling. In ECMSMOO, multi-swarms are adopted and each swarm employs improved multi-objective particle swarm optimization to find out non-dominated solutions with one objective. To avoid falling into local optima which is common in traditional heuristic algorithms, an endocrine-inspired mechanism is embedded in the particles’ evolution process. Furthermore, a competition and cooperation technique among swarms is designed in the ECMSMOO. All these strategies effectively improve the performance of ECMSMOO. We compare the quality of the proposed method with other algorithms for multi-objective task scheduling by hybrid and parallel workflow jobs. The results highlight the better performance of the proposed approach than that of the compared algorithms.
Author	Yao, Guangshun Jin, Yaochu Ding, Yongsheng Hao, Kuangrong
Author_xml	– sequence: 1 givenname: Guangshun surname: Yao fullname: Yao, Guangshun organization: Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Science and Technology, Donghua University, College of Computer and Information Engineering, Chuzhou University – sequence: 2 givenname: Yongsheng surname: Ding fullname: Ding, Yongsheng email: ysding@dhu.edu.cn organization: Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Science and Technology, Donghua University – sequence: 3 givenname: Yaochu surname: Jin fullname: Jin, Yaochu organization: Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Science and Technology, Donghua University, Department of Computing, University of Surrey – sequence: 4 givenname: Kuangrong surname: Hao fullname: Hao, Kuangrong organization: Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of Education, College of Information Science and Technology, Donghua University
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Cites_doi	10.1080/18756891.2010.9727745 10.1016/j.asoc.2012.12.020 10.1016/j.future.2008.12.001 10.1109/TSMCC.2008.2001722 10.1007/s00500-012-0890-9 10.1109/TSMCB.2006.883270 10.1109/TSMCB.2012.2209115 10.1109/TPDS.2003.1195409 10.1007/s00500-013-1199-z 10.1016/j.asoc.2014.01.036 10.1016/j.automatica.2007.03.011 10.1109/71.993206 10.1109/TEVC.2004.826067 10.1109/40.888701 10.1016/j.future.2014.10.008 10.1007/s00500-011-0759-3 10.1109/TPDS.2007.1073 10.1016/j.future.2008.09.002 10.1016/S0167-739X(02)00085-7 10.1080/00207721.2012.723053 10.1016/j.future.2012.08.015 10.1006/jpdc.2000.1714 10.1007/s10586-013-0325-0 10.1023/A:1015617019423 10.1016/j.ins.2014.11.052 10.1109/TEVC.2003.810758 10.1016/j.jpdc.2013.12.004 10.1109/TC.2008.79 10.1007/s10723-013-9257-4 10.1109/MCI.2006.1597059 10.1016/j.future.2013.07.005 10.1109/4235.996017 10.1016/j.future.2013.09.006 10.1016/j.eswa.2011.04.235 10.1109/eScience.2012.6404430 10.1109/MHS.1995.494215
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Keywords	Multi-swarm Multi-objective workflow scheduling Endocrine regulation mechanism Cloud computing system Particle swarm optimization
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References	Hu, Ding, Ren (CR23) 2015; 300 Braun, Siegel, Beck (CR3) 2001; 61 James, Russell (CR24) 1995; 1995 CR16 Topcuoglu, Hariri, Wu (CR30) 2002; 13 Yazdani, Nasiri, Sepas-Moghaddam (CR34) 2013; 13 Coello (CR11) 2006; 1 Cheng, Zhang, Li (CR8) 2012; 16 Frey, Tannenbaum, Livny (CR18) 2002; 5 Brooks, Bose, Schuster (CR4) 2000; 20 Hu, Ding, Hao (CR22) 2014; 45 Tao, Feng, Zhang (CR28) 2014; 19 Juve, Chervenak, Deelman (CR25) 2013; 29 Chen, Huang, Tzeng (CR6) 2014; 18 Liu, Tan, Goh (CR26) 2007; 37 Zheng, Sakellariou (CR38) 2013; 11 Viswanathan, Veeravalli, Robertazzi (CR31) 2007; 18 Teng, Hay, Peng (CR29) 2007; 43 Coello, Pulido, Lechuga (CR10) 2004; 8 Deb, Pratap, Agarwal (CR12) 2002; 6 Chen, Zhang (CR9) 2009; 39 Gómez, Gil, Baños (CR21) 2013; 17 CR7 Gao, Hailu (CR19) 2010; 3 Subrata, Zomaya, Landfeldt (CR27) 2008; 57 Durillo, Nae, Prodan (CR14) 2014; 36 Yassa, Chelouah, Kadima (CR33) 2013; 350934 Zhang, Cao, Li (CR37) 2014; 37 CR20 Wieczorek, Hoheisel, Prodan (CR32) 2009; 25 Zitzler, Thiele, Laumanns (CR39) 2003; 7 Durillo, Prodan (CR15) 2014; 17 Abramson, Buyya, Giddy (CR1) 2002; 18 Buyya, Yeo, Venugopal (CR5) 2009; 25 Deelman, Vahi, Juve (CR13) 2015; 46 Fard, Prodan, Fahringer (CR17) 2014; 74 Zhang, Gong, Ding (CR36) 2011; 38 Berman, Wolski, Casanova (CR2) 2003; 14 Zhan, Li, Cao (CR35) 2013; 43 WN Chen (2063_CR9) 2009; 39 H Topcuoglu (2063_CR30) 2002; 13 JJ Durillo (2063_CR15) 2014; 17 M Wieczorek (2063_CR32) 2009; 25 F Zhang (2063_CR37) 2014; 37 F Tao (2063_CR28) 2014; 19 Y-F Hu (2063_CR23) 2015; 300 K James (2063_CR24) 1995; 1995 K Deb (2063_CR12) 2002; 6 2063_CR16 ZH Zhan (2063_CR35) 2013; 43 L Gao (2063_CR19) 2010; 3 CL Chen (2063_CR6) 2014; 18 J Frey (2063_CR18) 2002; 5 R Subrata (2063_CR27) 2008; 57 D Liu (2063_CR26) 2007; 37 CCA Coello (2063_CR11) 2006; 1 E Zitzler (2063_CR39) 2003; 7 D Yazdani (2063_CR34) 2013; 13 HM Fard (2063_CR17) 2014; 74 TD Braun (2063_CR3) 2001; 61 2063_CR7 Y Zhang (2063_CR36) 2011; 38 D Abramson (2063_CR1) 2002; 18 J Cheng (2063_CR8) 2012; 16 G Juve (2063_CR25) 2013; 29 E Deelman (2063_CR13) 2015; 46 Y-F Hu (2063_CR22) 2014; 45 JJ Durillo (2063_CR14) 2014; 36 S Yassa (2063_CR33) 2013; 350934 W Zheng (2063_CR38) 2013; 11 J Gómez (2063_CR21) 2013; 17 F Berman (2063_CR2) 2003; 14 2063_CR20 S Viswanathan (2063_CR31) 2007; 18 R Buyya (2063_CR5) 2009; 25 CAC Coello (2063_CR10) 2004; 8 DM Brooks (2063_CR4) 2000; 20 S Teng (2063_CR29) 2007; 43
References_xml	– volume: 3 start-page: 832 issue: 6 year: 2010 end-page: 842 ident: CR19 article-title: Comprehensive learning particle swarm optimizer for constrained mixed-variable optimization problems [J] publication-title: Int J Comput Intell Syst doi: 10.1080/18756891.2010.9727745 – volume: 13 start-page: 2144 issue: 4 year: 2013 end-page: 2158 ident: CR34 article-title: A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization [J] publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2012.12.020 – volume: 25 start-page: 599 issue: 6 year: 2009 end-page: 616 ident: CR5 article-title: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2008.12.001 – volume: 39 start-page: 29 issue: 1 year: 2009 end-page: 43 ident: CR9 article-title: An ant colony optimization approach to a grid workflow scheduling problem with various QoS requirements [J] publication-title: IEEE Trans Syst Man Cybern Part C Appl Rev doi: 10.1109/TSMCC.2008.2001722 – ident: CR16 – volume: 17 start-page: 255 issue: 2 year: 2013 end-page: 263 ident: CR21 article-title: A Pareto-based multi-objective evolutionary algorithm for automatic rule generation in network intrusion detection systems [J] publication-title: Soft Comput doi: 10.1007/s00500-012-0890-9 – volume: 37 start-page: 42 issue: 1 year: 2007 end-page: 50 ident: CR26 article-title: A multiobjective memetic algorithm based on particle swarm optimization [J] publication-title: IEEE Trans Syst Man Cybern Part B Cybern doi: 10.1109/TSMCB.2006.883270 – volume: 43 start-page: 445 issue: 2 year: 2013 end-page: 463 ident: CR35 article-title: Multiple populations for multiple objectives: a coevolutionary technique for solving multiobjective optimization problems [J] publication-title: IEEE Trans Cybern doi: 10.1109/TSMCB.2012.2209115 – volume: 14 start-page: 369 issue: 4 year: 2003 end-page: 382 ident: CR2 article-title: Adaptive computing on the grid using AppLeS [J] publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/TPDS.2003.1195409 – volume: 18 start-page: 2271 issue: 11 year: 2014 end-page: 2282 ident: CR6 article-title: A revised discrete particle swarm optimization algorithm for permutation flow-shop scheduling problem [J] publication-title: Soft Comput doi: 10.1007/s00500-013-1199-z – volume: 19 start-page: 264 year: 2014 end-page: 279 ident: CR28 article-title: CLPS-GA: a case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling [J] publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2014.01.036 – volume: 43 start-page: 1884 issue: 11 year: 2007 end-page: 1895 ident: CR29 article-title: Multi-objective ordinal optimization for simulation optimization problems [J] publication-title: Automatica doi: 10.1016/j.automatica.2007.03.011 – volume: 13 start-page: 260 issue: 3 year: 2002 end-page: 274 ident: CR30 article-title: Performance-effective and low-complexity task scheduling for heterogeneous computing [J] publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/71.993206 – volume: 8 start-page: 256 issue: 3 year: 2004 end-page: 279 ident: CR10 article-title: Handling multiple objectives with particle swarm optimization [J] publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2004.826067 – volume: 38 start-page: 13933 issue: 11 year: 2011 end-page: 13941 ident: CR36 article-title: Handling multi-objective optimization problems with a multi-swarm cooperative particle swarm optimizer [J] publication-title: Expert Syst Appl – volume: 350934 start-page: 1 year: 2013 end-page: 13 ident: CR33 article-title: Multi-objective approach for energy-aware workflow scheduling in Cloud computing environments [J] publication-title: Sci World J Article ID – volume: 20 start-page: 26 issue: 6 year: 2000 end-page: 44 ident: CR4 article-title: Power-aware microarchitecture: design and modeling challenges for next-generation microprocessors [J] publication-title: IEEE Micro doi: 10.1109/40.888701 – volume: 46 start-page: 17 year: 2015 end-page: 35 ident: CR13 article-title: Pegasus, a workflow management system for science automation [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2014.10.008 – volume: 16 start-page: 597 issue: 4 year: 2012 end-page: 614 ident: CR8 article-title: Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems [J] publication-title: Soft Comput doi: 10.1007/s00500-011-0759-3 – volume: 18 start-page: 1450 issue: 10 year: 2007 end-page: 1461 ident: CR31 article-title: Resource-aware distributed scheduling strategies for large-scale computational cluster/grid systems [J] publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/TPDS.2007.1073 – volume: 25 start-page: 237 issue: 3 year: 2009 end-page: 256 ident: CR32 article-title: Towards a general model of the multi-criteria workflow scheduling on the grid [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2008.09.002 – volume: 18 start-page: 1061 issue: 8 year: 2002 end-page: 1074 ident: CR1 article-title: A computational economy for grid computing and its implementation in the Nimrod-G resource broker [J] publication-title: Future Gener Comput Syst doi: 10.1016/S0167-739X(02)00085-7 – volume: 45 start-page: 337 issue: 3 year: 2014 end-page: 350 ident: CR22 article-title: An immune orthogonal learning particle swarm optimization algorithm for routing recovery of wireless sensor networks with mobile sink [J] publication-title: Int J Syst Sci doi: 10.1080/00207721.2012.723053 – volume: 29 start-page: 682 issue: 3 year: 2013 end-page: 692 ident: CR25 article-title: Characterizing and profiling scientific workflows [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2012.08.015 – volume: 61 start-page: 810 issue: 6 year: 2001 end-page: 837 ident: CR3 article-title: A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems [J] publication-title: J Parallel Distrib Comput doi: 10.1006/jpdc.2000.1714 – volume: 17 start-page: 169 issue: 2 year: 2014 end-page: 189 ident: CR15 article-title: Multi-objective workflow scheduling in Amazon EC2 [J] publication-title: Clust Comput doi: 10.1007/s10586-013-0325-0 – volume: 5 start-page: 237 issue: 3 year: 2002 end-page: 246 ident: CR18 article-title: Condor-G: a computation management agent for multi-institutional grids [J] publication-title: Clust Comput doi: 10.1023/A:1015617019423 – volume: 300 start-page: 100 year: 2015 end-page: 113 ident: CR23 article-title: An endocrine cooperative particle swarm optimization algorithm for routing recovery of wireless sensor networks with multiple mobile sinks [J] publication-title: Inf Sci doi: 10.1016/j.ins.2014.11.052 – volume: 1995 start-page: 1942 year: 1995 end-page: 1948 ident: CR24 article-title: Particle swarm optimization [C] publication-title: Proc IEEE Int Conf Neural Netw – volume: 7 start-page: 117 issue: 2 year: 2003 end-page: 132 ident: CR39 article-title: Performance assessment of multiobjective optimizers: an analysis and review [J] publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2003.810758 – volume: 74 start-page: 2152 issue: 3 year: 2014 end-page: 2165 ident: CR17 article-title: Multi-objective list scheduling of workflow applications in distributed computing infrastructures [J] publication-title: J Parallel Distrib Comput doi: 10.1016/j.jpdc.2013.12.004 – ident: CR7 – volume: 57 start-page: 1413 issue: 10 year: 2008 end-page: 1422 ident: CR27 article-title: A cooperative game framework for QoS guided job allocation schemes in grids [J] publication-title: IEEE Trans Comput doi: 10.1109/TC.2008.79 – volume: 11 start-page: 633 issue: 4 year: 2013 end-page: 651 ident: CR38 article-title: Budget-deadline constrained workflow planning for admission control [J] publication-title: J Grid Comput doi: 10.1007/s10723-013-9257-4 – volume: 1 start-page: 28 issue: 1 year: 2006 end-page: 36 ident: CR11 article-title: Evolutionary multi-objective optimization: a historical view of the field [J] publication-title: IEEE Comput Intell Mag doi: 10.1109/MCI.2006.1597059 – volume: 36 start-page: 221 year: 2014 end-page: 236 ident: CR14 article-title: Multi-objective energy-efficient workflow scheduling using list-based heuristics [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2013.07.005 – volume: 6 start-page: 182 issue: 2 year: 2002 end-page: 197 ident: CR12 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II [J] publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 37 start-page: 309 year: 2014 end-page: 320 ident: CR37 article-title: Multi-objective scheduling of many tasks in cloud platforms [J] publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2013.09.006 – ident: CR20 – volume: 46 start-page: 17 year: 2015 ident: 2063_CR13 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2014.10.008 – volume: 29 start-page: 682 issue: 3 year: 2013 ident: 2063_CR25 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2012.08.015 – volume: 25 start-page: 237 issue: 3 year: 2009 ident: 2063_CR32 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2008.09.002 – volume: 7 start-page: 117 issue: 2 year: 2003 ident: 2063_CR39 publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2003.810758 – volume: 3 start-page: 832 issue: 6 year: 2010 ident: 2063_CR19 publication-title: Int J Comput Intell Syst doi: 10.1080/18756891.2010.9727745 – volume: 37 start-page: 309 year: 2014 ident: 2063_CR37 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2013.09.006 – volume: 13 start-page: 2144 issue: 4 year: 2013 ident: 2063_CR34 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2012.12.020 – volume: 11 start-page: 633 issue: 4 year: 2013 ident: 2063_CR38 publication-title: J Grid Comput doi: 10.1007/s10723-013-9257-4 – volume: 38 start-page: 13933 issue: 11 year: 2011 ident: 2063_CR36 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2011.04.235 – volume: 61 start-page: 810 issue: 6 year: 2001 ident: 2063_CR3 publication-title: J Parallel Distrib Comput doi: 10.1006/jpdc.2000.1714 – volume: 37 start-page: 42 issue: 1 year: 2007 ident: 2063_CR26 publication-title: IEEE Trans Syst Man Cybern Part B Cybern doi: 10.1109/TSMCB.2006.883270 – volume: 20 start-page: 26 issue: 6 year: 2000 ident: 2063_CR4 publication-title: IEEE Micro doi: 10.1109/40.888701 – volume: 14 start-page: 369 issue: 4 year: 2003 ident: 2063_CR2 publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/TPDS.2003.1195409 – volume: 39 start-page: 29 issue: 1 year: 2009 ident: 2063_CR9 publication-title: IEEE Trans Syst Man Cybern Part C Appl Rev doi: 10.1109/TSMCC.2008.2001722 – volume: 43 start-page: 445 issue: 2 year: 2013 ident: 2063_CR35 publication-title: IEEE Trans Cybern doi: 10.1109/TSMCB.2012.2209115 – volume: 8 start-page: 256 issue: 3 year: 2004 ident: 2063_CR10 publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2004.826067 – ident: 2063_CR7 doi: 10.1109/eScience.2012.6404430 – volume: 17 start-page: 169 issue: 2 year: 2014 ident: 2063_CR15 publication-title: Clust Comput doi: 10.1007/s10586-013-0325-0 – volume: 17 start-page: 255 issue: 2 year: 2013 ident: 2063_CR21 publication-title: Soft Comput doi: 10.1007/s00500-012-0890-9 – volume: 1995 start-page: 1942 year: 1995 ident: 2063_CR24 publication-title: Proc IEEE Int Conf Neural Netw – volume: 300 start-page: 100 year: 2015 ident: 2063_CR23 publication-title: Inf Sci doi: 10.1016/j.ins.2014.11.052 – volume: 16 start-page: 597 issue: 4 year: 2012 ident: 2063_CR8 publication-title: Soft Comput doi: 10.1007/s00500-011-0759-3 – ident: 2063_CR16 doi: 10.1109/MHS.1995.494215 – volume: 74 start-page: 2152 issue: 3 year: 2014 ident: 2063_CR17 publication-title: J Parallel Distrib Comput doi: 10.1016/j.jpdc.2013.12.004 – volume: 25 start-page: 599 issue: 6 year: 2009 ident: 2063_CR5 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2008.12.001 – ident: 2063_CR20 – volume: 45 start-page: 337 issue: 3 year: 2014 ident: 2063_CR22 publication-title: Int J Syst Sci doi: 10.1080/00207721.2012.723053 – volume: 13 start-page: 260 issue: 3 year: 2002 ident: 2063_CR30 publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/71.993206 – volume: 1 start-page: 28 issue: 1 year: 2006 ident: 2063_CR11 publication-title: IEEE Comput Intell Mag doi: 10.1109/MCI.2006.1597059 – volume: 36 start-page: 221 year: 2014 ident: 2063_CR14 publication-title: Future Gener Comput Syst doi: 10.1016/j.future.2013.07.005 – volume: 18 start-page: 2271 issue: 11 year: 2014 ident: 2063_CR6 publication-title: Soft Comput doi: 10.1007/s00500-013-1199-z – volume: 18 start-page: 1450 issue: 10 year: 2007 ident: 2063_CR31 publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/TPDS.2007.1073 – volume: 5 start-page: 237 issue: 3 year: 2002 ident: 2063_CR18 publication-title: Clust Comput doi: 10.1023/A:1015617019423 – volume: 43 start-page: 1884 issue: 11 year: 2007 ident: 2063_CR29 publication-title: Automatica doi: 10.1016/j.automatica.2007.03.011 – volume: 350934 start-page: 1 year: 2013 ident: 2063_CR33 publication-title: Sci World J Article ID – volume: 57 start-page: 1413 issue: 10 year: 2008 ident: 2063_CR27 publication-title: IEEE Trans Comput doi: 10.1109/TC.2008.79 – volume: 19 start-page: 264 year: 2014 ident: 2063_CR28 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2014.01.036 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 2063_CR12 publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 18 start-page: 1061 issue: 8 year: 2002 ident: 2063_CR1 publication-title: Future Gener Comput Syst doi: 10.1016/S0167-739X(02)00085-7
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SubjectTerms	Algorithms Artificial Intelligence Cloud computing Computational Intelligence Computer centers Control Cooperation Customer services Design Employment Energy consumption Engineering Heuristic methods Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Objectives Optimization Particle swarm optimization Performance enhancement Resource scheduling Robotics Scheduling Task scheduling Workflow
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Title	Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system
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