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Volumn 92, Issue , 2016, Pages 172-185

A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control

Author keywords

Benchmark; Direct policy search; Multi objective evolutionary algorithm; Multi purpose reservoir control

Indexed keywords

ALGORITHMS; BENCHMARKING; CLIMATE CHANGE; COMMERCE; COMPUTER CONTROL; INVESTMENTS; PARALLEL PROCESSING SYSTEMS; PARAMETER ESTIMATION; PARAMETERIZATION; RADIAL BASIS FUNCTION NETWORKS; RESERVOIR MANAGEMENT; RESERVOIRS (WATER); SURFACE WATERS; WATERSHEDS;

EID: 84963511088     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2016.04.006     Document Type: Article
Times cited : (113)

References (70)
  • 3
    • 80053598539 scopus 로고    scopus 로고
    • Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation
    • Castelletti A., Antenucci J., Limosani D., Quach Thi X., Soncini-Sessa R. Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation. Water Resour. Res. 2011, 47(9):9534-9548.
    • (2011) Water Resour. Res. , vol.47 , Issue.9 , pp. 9534-9548
    • Castelletti, A.1    Antenucci, J.2    Limosani, D.3    Quach Thi, X.4    Soncini-Sessa, R.5
  • 4
    • 77956510727 scopus 로고    scopus 로고
    • Tree-based reinforcement learning for optimal water reservoir operation
    • Castelletti A., Galelli S., Restelli M., Soncini-Sessa R. Tree-based reinforcement learning for optimal water reservoir operation. Water Resour. Res. 2010, 46(9):9507-9525.
    • (2010) Water Resour. Res. , vol.46 , Issue.9 , pp. 9507-9525
    • Castelletti, A.1    Galelli, S.2    Restelli, M.3    Soncini-Sessa, R.4
  • 5
    • 84881064740 scopus 로고    scopus 로고
    • A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run
    • Castelletti A., Pianosi F., Restelli M. A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run. Water Resour. Res. 2013, 49(6):3476-3486.
    • (2013) Water Resour. Res. , vol.49 , Issue.6 , pp. 3476-3486
    • Castelletti, A.1    Pianosi, F.2    Restelli, M.3
  • 6
    • 44349161626 scopus 로고    scopus 로고
    • Water reservoir control under economic, social and environmental constraints
    • Castelletti A., Pianosi F., Soncini-Sessa R. Water reservoir control under economic, social and environmental constraints. Automatica 2008, 44(6):1595-1607.
    • (2008) Automatica , vol.44 , Issue.6 , pp. 1595-1607
    • Castelletti, A.1    Pianosi, F.2    Soncini-Sessa, R.3
  • 8
    • 34247567275 scopus 로고    scopus 로고
    • Neuro-dynamic programming for designing water reservoir network management policies
    • Castelletti A., de Rigo D., Rizzoli A., Soncini-Sessa R., Weber E. Neuro-dynamic programming for designing water reservoir network management policies. Control Eng. Pract. 2007, 15(8):1031-1038.
    • (2007) Control Eng. Pract. , vol.15 , Issue.8 , pp. 1031-1038
    • Castelletti, A.1    de Rigo, D.2    Rizzoli, A.3    Soncini-Sessa, R.4    Weber, E.5
  • 9
    • 84896285478 scopus 로고    scopus 로고
    • Planning the optimal operation of a multioutlet water reservoir with water quality and quantity targets
    • Castelletti A., Yajima H., Giuliani M., Soncini-Sessa R., Weber E. Planning the optimal operation of a multioutlet water reservoir with water quality and quantity targets. J. Water Resour. Plan. Manag. 2014, 140(4):496-510.
    • (2014) J. Water Resour. Plan. Manag. , vol.140 , Issue.4 , pp. 496-510
    • Castelletti, A.1    Yajima, H.2    Giuliani, M.3    Soncini-Sessa, R.4    Weber, E.5
  • 10
    • 55749116318 scopus 로고    scopus 로고
    • Evolutionary algorithms for solving multi-objective problems
    • Springer, New York
    • Coello Coello C.A. Evolutionary algorithms for solving multi-objective problems. Genetic and Evolutionary Computation 2007, Springer, New York. second ed.
    • (2007) Genetic and Evolutionary Computation
    • Coello Coello, C.A.1
  • 11
    • 0016494906 scopus 로고
    • A review and evaluation of multiobjective programming techniques
    • Cohon J., Marks D. A review and evaluation of multiobjective programming techniques. Water Resour. Res. 1975, 11(2):208-220.
    • (1975) Water Resour. Res. , vol.11 , Issue.2 , pp. 208-220
    • Cohon, J.1    Marks, D.2
  • 12
    • 26344448906 scopus 로고
    • Simulated Binary Crossover for Continuous Search Space
    • Indian Institute of Technology, Kanpur
    • Deb K., Agrawal R.B. Simulated Binary Crossover for Continuous Search Space. Technical Report, IITK/ME/SMD-94027 1994, Indian Institute of Technology, Kanpur.
    • (1994) Technical Report, IITK/ME/SMD-94027
    • Deb, K.1    Agrawal, R.B.2
  • 13
    • 0040445957 scopus 로고    scopus 로고
    • A combined genetic adaptive search (geneas) for engineering design
    • Deb K., Goyal M. A combined genetic adaptive search (geneas) for engineering design. Comput. Sci. Inf. 1996, 26:30-45.
    • (1996) Comput. Sci. Inf. , vol.26 , pp. 30-45
    • Deb, K.1    Goyal, M.2
  • 14
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • Springer Berlin Heidelberg
    • Deb K., Agrawal S., Pratap A., Meyarivan T. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Parallel problem solving from nature PPSN VI 2000, 849-858. Springer Berlin Heidelberg.
    • (2000) Parallel problem solving from nature PPSN VI , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 15
    • 33846310773 scopus 로고    scopus 로고
    • Introducing robustness in multi-objective optimization
    • Deb K., Gupta H. Introducing robustness in multi-objective optimization. Evol. Comput. 2006, 14(4):463-494.
    • (2006) Evol. Comput. , vol.14 , Issue.4 , pp. 463-494
    • Deb, K.1    Gupta, H.2
  • 16
    • 4344625151 scopus 로고    scopus 로고
    • A Fast Multi-objective Evolutionary Algorithm for Finding Well-spread Pareto-optimal Solutions
    • Kanpur Genetic Algorithms Laboratory
    • Deb K., Mohan M., Mishra S. A Fast Multi-objective Evolutionary Algorithm for Finding Well-spread Pareto-optimal Solutions. Technical Report, 2003002 2003, Kanpur Genetic Algorithms Laboratory.
    • (2003) Technical Report, 2003002
    • Deb, K.1    Mohan, M.2    Mishra, S.3
  • 17
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • Deb K., Pratap A., Agarwal S., Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 2002, 6(2):182-197.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 18
    • 2342549530 scopus 로고    scopus 로고
    • Solving bilevel multi-objective optimization problems using evolutionary algorithms
    • Springer Science Mathplus Business Media
    • Deb K., Sinha A. Solving bilevel multi-objective optimization problems using evolutionary algorithms. Evolutionary Multi-Criterion Optimization 2009, 110-124. Springer Science Mathplus Business Media.
    • (2009) Evolutionary Multi-Criterion Optimization , pp. 110-124
    • Deb, K.1    Sinha, A.2
  • 20
    • 34547343895 scopus 로고    scopus 로고
    • Minimizing water cost in water resource management of athens
    • Efstratiadis A., Koutsoyiannis D., Xenos D. Minimizing water cost in water resource management of athens. Urban Water J. 2004, 1(1):3-15.
    • (2004) Urban Water J. , vol.1 , Issue.1 , pp. 3-15
    • Efstratiadis, A.1    Koutsoyiannis, D.2    Xenos, D.3
  • 21
    • 84963618810 scopus 로고    scopus 로고
    • Operations Modeling Calibration Report, Technical Report, Addendum Conowingo Hydroelectric Project- RSP 3.11 (405) and Muddy Run Pumped Storage Project- RSP 3.2 (2355)
    • Gomez and Sullivan Eng
    • Exelon Operations Modeling Calibration Report, Technical Report, Addendum Conowingo Hydroelectric Project- RSP 3.11 (405) and Muddy Run Pumped Storage Project- RSP 3.2 (2355). Technical Report 2010, Gomez and Sullivan Eng.
    • (2010) Technical Report
  • 22
    • 84929809307 scopus 로고
    • Order approving settlement agreement for the Conowingo hydroelectric project
    • 405-009, Docket EL80-38-000
    • Federal Energy Regulatory Commission, Order approving settlement agreement for the Conowingo hydroelectric project, 1989, Tech. Rep. Proj. 405-009, Docket EL80-38-000.
    • (1989) Tech. Rep. Proj.
  • 24
    • 84954329166 scopus 로고    scopus 로고
    • Is robustness really robust? How different definitions of robustness impact decision-making under climate change
    • Giuliani M., Castelletti A. Is robustness really robust? How different definitions of robustness impact decision-making under climate change. Clim. Change 2016, 135(3):1-16.
    • (2016) Clim. Change , vol.135 , Issue.3 , pp. 1-16
    • Giuliani, M.1    Castelletti, A.2
  • 25
    • 84955276734 scopus 로고    scopus 로고
    • Curses, tradeoffs, and scalable management: Advancing evolutionary multi-objective direct policy search to improve water reservoir operations
    • 04015050-1-17
    • Giuliani M., Castelletti A., Pianosi F., Mason E., P.M.R. Curses, tradeoffs, and scalable management: Advancing evolutionary multi-objective direct policy search to improve water reservoir operations. ASCE J. Water Resour. Plan. Manag. 2015, 142(2). 04015050-1-17.
    • (2015) ASCE J. Water Resour. Plan. Manag. , vol.142 , Issue.2
    • Giuliani, M.1    Castelletti, A.2    Pianosi, F.3    Mason, E.P.M.R.4
  • 26
    • 84899038091 scopus 로고    scopus 로고
    • Many-objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management
    • Giuliani M., Herman J., Castelletti A., Reed P. Many-objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management. Water Resour. Res. 2014, 50(4):3355-3377.
    • (2014) Water Resour. Res. , vol.50 , Issue.4 , pp. 3355-3377
    • Giuliani, M.1    Herman, J.2    Castelletti, A.3    Reed, P.4
  • 27
    • 84947756297 scopus 로고    scopus 로고
    • Making the most of data: an information selection and assessment framework to improve water systems operations
    • Giuliani M., Pianosi F., Castelletti A. Making the most of data: an information selection and assessment framework to improve water systems operations. Water Resour. Res. 2015, 51(11):9073-9093.
    • (2015) Water Resour. Res. , vol.51 , Issue.11 , pp. 9073-9093
    • Giuliani, M.1    Pianosi, F.2    Castelletti, A.3
  • 29
    • 0022855567 scopus 로고
    • The management of Lake Como: A multiobjective analysis
    • Guariso G., Rinaldi S., Soncini-Sessa R. The management of Lake Como: A multiobjective analysis. Water Resour. Res. 1986, 22(2):109-120.
    • (1986) Water Resour. Res. , vol.22 , Issue.2 , pp. 109-120
    • Guariso, G.1    Rinaldi, S.2    Soncini-Sessa, R.3
  • 30
    • 84866846120 scopus 로고    scopus 로고
    • Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization
    • Hadka D., Reed P. Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization. Evol. Comput. 2012, 20(3):423-452.
    • (2012) Evol. Comput. , vol.20 , Issue.3 , pp. 423-452
    • Hadka, D.1    Reed, P.2
  • 31
    • 84887667705 scopus 로고    scopus 로고
    • Borg: An auto-adaptive many-objective evolutionary computing framework
    • Hadka D., Reed P. Borg: An auto-adaptive many-objective evolutionary computing framework. Evol. Comput. 2013, 21(2):231-259.
    • (2013) Evol. Comput. , vol.21 , Issue.2 , pp. 231-259
    • Hadka, D.1    Reed, P.2
  • 32
    • 84930634363 scopus 로고    scopus 로고
    • Large-scale parallelization of the borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems
    • Hadka D., Reed P. Large-scale parallelization of the borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems. Environ. Model. Softw. 2014, 69:353-369.
    • (2014) Environ. Model. Softw. , vol.69 , pp. 353-369
    • Hadka, D.1    Reed, P.2
  • 35
    • 0019912332 scopus 로고
    • Reliability, resiliency and vulnerability criteria for water resource system performance evaluation
    • Hashimoto T., Stedinger J.R., Loucks D.P. Reliability, resiliency and vulnerability criteria for water resource system performance evaluation. Water Resour. Res. 1982, 18(1):14-20.
    • (1982) Water Resour. Res. , vol.18 , Issue.1 , pp. 14-20
    • Hashimoto, T.1    Stedinger, J.R.2    Loucks, D.P.3
  • 36
    • 58349114730 scopus 로고    scopus 로고
    • Improving the performance and scalability of differential evolution
    • Springer
    • Iorio A.W., Li X. Improving the performance and scalability of differential evolution. Simulated Evolution and Learning 2008, 131-140. Springer.
    • (2008) Simulated Evolution and Learning , pp. 131-140
    • Iorio, A.W.1    Li, X.2
  • 37
    • 85027948416 scopus 로고    scopus 로고
    • Natural gas price uncertainty and the cost-effectiveness of hedging against low hydropower revenues caused by drought
    • Kern J.D., Characklis G.W., Foster B.T. Natural gas price uncertainty and the cost-effectiveness of hedging against low hydropower revenues caused by drought. Water Resour. Res. 2015, 51(4):2412-2427.
    • (2015) Water Resour. Res. , vol.51 , Issue.4 , pp. 2412-2427
    • Kern, J.D.1    Characklis, G.W.2    Foster, B.T.3
  • 40
    • 24344466415 scopus 로고    scopus 로고
    • The value of online adaptive search: A performance comparison of NSGAII, epsilon-NSGAII and epsilon-MOEA
    • Springer Verlag, C. Coello Coello, A. Aguirre, E. Zitzler (Eds.)
    • Kollat J.B., Reed P.M. The value of online adaptive search: A performance comparison of NSGAII, epsilon-NSGAII and epsilon-MOEA. Proceedings of the Third International Conference On Evolutionary Multi-Criterion Optimization (EMO 2005) 2005, 386-398. Springer Verlag. C. Coello Coello, A. Aguirre, E. Zitzler (Eds.).
    • (2005) Proceedings of the Third International Conference On Evolutionary Multi-Criterion Optimization (EMO 2005) , pp. 386-398
    • Kollat, J.B.1    Reed, P.M.2
  • 41
    • 33645882208 scopus 로고    scopus 로고
    • Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design
    • Kollat J.B., Reed P.M. Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design. Adv. Water Resour. 2006, 29(6):792-807.
    • (2006) Adv. Water Resour. , vol.29 , Issue.6 , pp. 792-807
    • Kollat, J.B.1    Reed, P.M.2
  • 42
    • 33846389787 scopus 로고    scopus 로고
    • A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications
    • Kollat J.B., Reed P.M. A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications. Adv. Water Resour. 2007, 30(3):335-353.
    • (2007) Adv. Water Resour. , vol.30 , Issue.3 , pp. 335-353
    • Kollat, J.B.1    Reed, P.M.2
  • 43
    • 1542756535 scopus 로고    scopus 로고
    • Evaluation of the parameterization-simulation-optimization approach for the control of reservoir systems
    • Koutsoyiannis D., Economou A. Evaluation of the parameterization-simulation-optimization approach for the control of reservoir systems. Water Resour. Res. 2003, 39(6):1170-1186.
    • (2003) Water Resour. Res. , vol.39 , Issue.6 , pp. 1170-1186
    • Koutsoyiannis, D.1    Economou, A.2
  • 45
    • 1842686887 scopus 로고    scopus 로고
    • Optimal operation of multireservoir systems: State-of-the-art review
    • Labadie J.W. Optimal operation of multireservoir systems: State-of-the-art review. J. Water Resour. Plan. Manag. 2004, 130(2):93-111.
    • (2004) J. Water Resour. Plan. Manag. , vol.130 , Issue.2 , pp. 93-111
    • Labadie, J.W.1
  • 46
    • 0036715683 scopus 로고    scopus 로고
    • Combining convergence and diversity in evolutionary multiobjective optimization
    • Laumanns M., Thiele L., Deb K., Zitzler E. Combining convergence and diversity in evolutionary multiobjective optimization. Evol. Comput. 2002, 10(3):263-282.
    • (2002) Evol. Comput. , vol.10 , Issue.3 , pp. 263-282
    • Laumanns, M.1    Thiele, L.2    Deb, K.3    Zitzler, E.4
  • 48
    • 84963625125 scopus 로고    scopus 로고
    • Susquehanna River Watershed: Wikimedia Commons. (accessed 02.09.15.).
    • Musser, K. 2007. Susquehanna River Watershed: Wikimedia Commons. (accessed 02.09.15.). http://commons.wikimedia.org/wiki/File:Susq_sub_u.png.
    • (2007)
    • Musser, K.1
  • 49
    • 0030840586 scopus 로고    scopus 로고
    • A parametric rule for planning and management of multiple-reservoir systems
    • Nalbantis I., Koutsoyiannis D. A parametric rule for planning and management of multiple-reservoir systems. Water Resour. Res. 1997, 33(9):2165-2177.
    • (1997) Water Resour. Res. , vol.33 , Issue.9 , pp. 2165-2177
    • Nalbantis, I.1    Koutsoyiannis, D.2
  • 51
    • 0030618869 scopus 로고    scopus 로고
    • Operating rules for multireservoir systems
    • Oliveira R., Loucks D.P. Operating rules for multireservoir systems. Water Resour. Res. 1997, 33(4):839-852.
    • (1997) Water Resour. Res. , vol.33 , Issue.4 , pp. 839-852
    • Oliveira, R.1    Loucks, D.P.2
  • 52
    • 84911214813 scopus 로고    scopus 로고
    • Evolving many-objective water management to exploit exascale computing
    • Reed P.M., Hadka D. Evolving many-objective water management to exploit exascale computing. Water Resour. Res. 2014, 50(10):8367-8373.
    • (2014) Water Resour. Res. , vol.50 , Issue.10 , pp. 8367-8373
    • Reed, P.M.1    Hadka, D.2
  • 53
    • 84872848015 scopus 로고    scopus 로고
    • Evolutionary multiobjective optimization in water resources: The past, present and future
    • Reed P.M., Hadka D., Herman J.D., Kasprzyk J.R., Kollat J.B. Evolutionary multiobjective optimization in water resources: The past, present and future. Adv. Water Resour. 2013, 51:438-456.
    • (2013) Adv. Water Resour. , vol.51 , pp. 438-456
    • Reed, P.M.1    Hadka, D.2    Herman, J.D.3    Kasprzyk, J.R.4    Kollat, J.B.5
  • 54
    • 84878906039 scopus 로고    scopus 로고
    • Visual analytics clarify the scalability and effectiveness of massively parallel many-objective optimization: A groundwater monitoring design example
    • Reed P.M., Kollat J.B. Visual analytics clarify the scalability and effectiveness of massively parallel many-objective optimization: A groundwater monitoring design example. Adv. Water Resour. 2013, 56:1-13.
    • (2013) Adv. Water Resour. , vol.56 , pp. 1-13
    • Reed, P.M.1    Kollat, J.B.2
  • 55
    • 33750267220 scopus 로고    scopus 로고
    • Multi-objective particle swarm optimizers: A survey of the state-of-the-art
    • Reyes-Sierra M., Coello C.C. Multi-objective particle swarm optimizers: A survey of the state-of-the-art. Int. J. Comput. Intell. Res. 2006, 2(3):287-308.
    • (2006) Int. J. Comput. Intell. Res. , vol.2 , Issue.3 , pp. 287-308
    • Reyes-Sierra, M.1    Coello, C.C.2
  • 57
    • 68249099961 scopus 로고    scopus 로고
    • Science-based collaboration: Finding better ways to operate the conowingo pond
    • Sheer D.P., Dehoff A. Science-based collaboration: Finding better ways to operate the conowingo pond. Am. Water Works Assoc. J. 2009, 101(6):20.
    • (2009) Am. Water Works Assoc. J. , vol.101 , Issue.6 , pp. 20
    • Sheer, D.P.1    Dehoff, A.2
  • 58
    • 24344480582 scopus 로고    scopus 로고
    • Improving PSO-based multi-objective optimization using crowding, mutation and ∈ -dominance
    • Springer
    • Sierra M.R., Coello C.A.C. Improving PSO-based multi-objective optimization using crowding, mutation and ∈ -dominance. Evolutionary Multi-criterion Optimization 2005, 505-519. Springer.
    • (2005) Evolutionary Multi-criterion Optimization , pp. 505-519
    • Sierra, M.R.1    Coello, C.A.C.2
  • 60
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces
    • Storn R., Price K. Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11(4):341-359.
    • (1997) J. Glob. Optim. , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 61
    • 84898939480 scopus 로고    scopus 로고
    • Policy gradient methods for reinforcement learning with function approximation
    • Citeseer
    • Sutton R.S., McAllester D.A., Singh S.P., Mansour Y., et al. Policy gradient methods for reinforcement learning with function approximation. NIPS 1999, vol. 99:1057-1063. Citeseer.
    • (1999) NIPS , vol.99 , pp. 1057-1063
    • Sutton, R.S.1    McAllester, D.A.2    Singh, S.P.3    Mansour, Y.4
  • 62
    • 77950640235 scopus 로고    scopus 로고
    • Conowingo Pond Management Plan
    • Susquehanna River Basin Commission
    • Swartz P. Conowingo Pond Management Plan. Technical Report 242 2006, Susquehanna River Basin Commission.
    • (2006) Technical Report 242
    • Swartz, P.1
  • 63
    • 0037544056 scopus 로고    scopus 로고
    • A survey on universal approximation and its limits in soft computing techniques
    • Tikk D., Kóczy L.T., Gedeon T.D. A survey on universal approximation and its limits in soft computing techniques. Int. J. Approx. Reason. 2003, 33(2):185-202.
    • (2003) Int. J. Approx. Reason. , vol.33 , Issue.2 , pp. 185-202
    • Tikk, D.1    Kóczy, L.T.2    Gedeon, T.D.3
  • 64
    • 79958785529 scopus 로고    scopus 로고
    • Empirical evaluation methods for multiobjective reinforcement learning algorithms
    • Vamplew P., Dazeley R., Berry A., Issabekov R., Dekker E. Empirical evaluation methods for multiobjective reinforcement learning algorithms. Mach. Learn. 2011, 84(1-2):51-80.
    • (2011) Mach. Learn. , vol.84 , Issue.1-2 , pp. 51-80
    • Vamplew, P.1    Dazeley, R.2    Berry, A.3    Issabekov, R.4    Dekker, E.5
  • 66
    • 0003808325 scopus 로고    scopus 로고
    • Multiobjective Evolutionary Algorithm Research: A History and Analysis
    • Citeseer
    • Van Veldhuizen D.A., Lamont G.B. Multiobjective Evolutionary Algorithm Research: A History and Analysis. Technical Report 1998, Citeseer.
    • (1998) Technical Report
    • Van Veldhuizen, D.A.1    Lamont, G.B.2
  • 67
    • 84939482525 scopus 로고    scopus 로고
    • Confronting tipping points: Can multi-objective evolutionary algorithms discover pollution control tradeoffs given environmental thresholds?
    • Ward V., Singh R., Reed P.M., Keller K. Confronting tipping points: Can multi-objective evolutionary algorithms discover pollution control tradeoffs given environmental thresholds?. Environ. Model. Softw. 2015, 73:27-43.
    • (2015) Environ. Model. Softw. , vol.73 , pp. 27-43
    • Ward, V.1    Singh, R.2    Reed, P.M.3    Keller, K.4
  • 69
    • 34548108555 scopus 로고    scopus 로고
    • Moea/d: A multiobjective evolutionary algorithm based on decomposition
    • Zhang Q., Li H. Moea/d: A multiobjective evolutionary algorithm based on decomposition. Evolutionary Computation, IEEE Transactions on 2007, 11(6):712-731.
    • (2007) Evolutionary Computation, IEEE Transactions on , vol.11 , Issue.6 , pp. 712-731
    • Zhang, Q.1    Li, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.