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Volumn 45, Issue 1, 2015, Pages 40-52

ASMiGA: An archive-based steady-state micro genetic algorithm

Author keywords

Archive based algorithm; Genetic algorithms; Multiobjective evolutionary optimization; Pareto front

Indexed keywords

GENETIC ALGORITHMS;

EID: 84919767459     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2317693     Document Type: Article
Times cited : (44)

References (73)
  • 1
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • Apr.
    • K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, Apr. 2002.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 2
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the strength Pareto evolutionary algorithm
    • (TIK), ETH, Zurich, Switzerland, Tech. Rep.
    • E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the strength Pareto evolutionary algorithm," Comput. Eng. Netw. Lab. (TIK), ETH, Zurich, Switzerland, Tech. Rep. 103, 2001.
    • (2001) Comput. Eng. Netw. Lab. , pp. 103
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3
  • 4
    • 57349161223 scopus 로고    scopus 로고
    • AMGA: An archive-based micro genetic algorithm for multi-objective optimization
    • S. Tiwari, P. Koch, G. Fadel, and K. Deb, "AMGA: An archive-based micro genetic algorithm for multi-objective optimization," in Proc. GECCO, 2008, pp. 729-736.
    • Proc. GECCO, 2008 , pp. 729-736
    • Tiwari, S.1    Koch, P.2    Fadel, G.3    Deb, K.4
  • 5
    • 79952756197 scopus 로고    scopus 로고
    • AMGA2: Improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization
    • S. Tiwari, G. Fadel, and K. Deb, "AMGA2: Improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization," Eng. Optim., vol. 43, no. 4, pp. 371-401, 2011.
    • (2011) Eng. Optim. , vol.43 , Issue.4 , pp. 371-401
    • Tiwari, S.1    Fadel, G.2    Deb, K.3
  • 7
    • 0003482385 scopus 로고    scopus 로고
    • Evolutionary algorithms for multiobjective optimization: Methods and applications
    • Computer Engineering and Networks Laboratory, SWISS Federal Institute of Technology, Zurich, Switzerland
    • E. Zitzler, "Evolutionary algorithms for multiobjective optimization: Methods and applications," Doctoral dissertation ETH 13398, Computer Engineering and Networks Laboratory, SWISS Federal Institute of Technology, Zurich, Switzerland, 1999.
    • (1999) Doctoral Dissertation ETH 13398
    • Zitzler, E.1
  • 8
    • 34848886877 scopus 로고    scopus 로고
    • Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization
    • K. Deb and S. Tiwari, "Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization," Eur. J. Oper. Res., vol. 185, no. 3, pp. 1062-1087, 2006.
    • (2006) Eur. J. Oper. Res. , vol.185 , Issue.3 , pp. 1062-1087
    • Deb, K.1    Tiwari, S.2
  • 9
    • 37249055061 scopus 로고    scopus 로고
    • FastPGA: A dynamic population sizing approach for solving expensive multiobjective optimization problems
    • H. Eskandari, C. D. Geiger, and G. B. Lamnot, "FastPGA: A dynamic population sizing approach for solving expensive multiobjective optimization problems," in Proc. EMO, Matsushima, Japan, pp. 141-155, 2007.
    • (2007) Proc. EMO, Matsushima, Japan , pp. 141-155
    • Eskandari, H.1    Geiger, C.D.2    Lamnot, G.B.3
  • 10
    • 84947923627 scopus 로고    scopus 로고
    • The Pareto envelop-based selection algorithm for multiobjective optimization
    • D. W. Corne, J. D. Knowles, and M. J. Oates, "The Pareto envelop-based selection algorithm for multiobjective optimization," in Proc. PPSN, Paris, France, 2000, pp. 839-848.
    • Proc. PPSN, Paris, France, 2000 , pp. 839-848
    • Corne, D.W.1    Knowles, J.D.2    Oates, M.J.3
  • 11
    • 27144495234 scopus 로고    scopus 로고
    • SPEA2+: Improving the performance of the strength Pareto evolutionary algorithm 2
    • M. Kim, T. Hiroyasu, M. Miki, and S. Watanabe, "SPEA2+: Improving the performance of the strength Pareto evolutionary algorithm 2," in Proc. PPSN, Birmingham, U.K., 2004, pp. 742-751.
    • Proc. PPSN, Birmingham, U.K., 2004 , pp. 742-751
    • Kim, M.1    Hiroyasu, T.2    Miki, M.3    Watanabe, S.4
  • 12
    • 0042863389 scopus 로고    scopus 로고
    • Rank-density-based multiobjective genetic algorithm and benchmark test function study
    • Aug.
    • H. Lu and G. G. Yen, "Rank-density-based multiobjective genetic algorithm and benchmark test function study," IEEE Trans. Evol. Comput., vol. 7, no. 4, pp. 325-343, Aug. 2003.
    • (2003) IEEE Trans. Evol. Comput. , vol.7 , Issue.4 , pp. 325-343
    • Lu, H.1    Yen, G.G.2
  • 13
    • 0037803437 scopus 로고    scopus 로고
    • Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation
    • Jun.
    • G. G. Yen and H. Lu, "Dynamic multiobjective evolutionary algorithm: Adaptive cell-based rank and density estimation," IEEE Trans. Evol. Comput., vol. 7, no. 3, pp. 253-274, Jun. 2003.
    • (2003) IEEE Trans. Evol. Comput. , vol.7 , Issue.3 , pp. 253-274
    • Yen, G.G.1    Lu, H.2
  • 14
    • 33745454026 scopus 로고    scopus 로고
    • Evaluating the ∈-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions
    • K. Deb, M. Mohan, and S. Mishra, "Evaluating the ∈-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions," Evol. Comput. J., vol. 13, no. 4, pp. 501-525, 2005.
    • (2005) Evol. Comput. J. , vol.13 , Issue.4 , pp. 501-525
    • Deb, K.1    Mohan, M.2    Mishra, S.3
  • 16
    • 49149130885 scopus 로고    scopus 로고
    • AbYSS: Adapting scatter search to multiobjective optimization
    • Aug.
    • A. J. Nebro et al., "AbYSS: Adapting scatter search to multiobjective optimization," IEEE Trans. Evol. Comput., vol. 12, no. 4, pp. 439-453, Aug. 2008.
    • (2008) IEEE Trans. Evol. Comput. , vol.12 , Issue.4 , pp. 439-453
    • Nebro, A.J.1
  • 17
    • 34548108555 scopus 로고    scopus 로고
    • MOEA/D: A multiobjective evolutionary algorithm based on decomposition
    • Dec.
    • Q. Zhang and H. Li, "MOEA/D: A multiobjective evolutionary algorithm based on decomposition," IEEE Trans. Evol. Comput., vol. 11, no. 6, pp. 712-731, Dec. 2007.
    • (2007) IEEE Trans. Evol. Comput. , vol.11 , Issue.6 , pp. 712-731
    • Zhang, Q.1    Li, H.2
  • 18
    • 70449869158 scopus 로고    scopus 로고
    • The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances
    • Q. Zhang, W. Liu, and H. Li, "The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances," in Proc. 11th Conf. CEC, Trondheim, Norway, 2009, pp. 203-208.
    • Proc. 11th Conf. CEC, Trondheim, Norway, 2009 , pp. 203-208
    • Zhang, Q.1    Liu, W.2    Li, H.3
  • 19
    • 67349108023 scopus 로고    scopus 로고
    • Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II
    • Apr.
    • H. Li and Q. Zhang, "Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II," IEEE Trans. Evol. Comput., vol. 3, no. 2, pp. 284-302, Apr. 2009.
    • (2009) IEEE Trans. Evol. Comput. , vol.3 , Issue.2 , pp. 284-302
    • Li, H.1    Zhang, Q.2
  • 20
    • 85133775397 scopus 로고    scopus 로고
    • A comprehensive survey of evolutionary-based multiobjective optimization techniques
    • C. A. C. Coello, "A comprehensive survey of evolutionary-based multiobjective optimization techniques," Knowl. Inf. Syst., vol. 1, no. 3, pp. 269-308, 1999.
    • (1999) Knowl. Inf. Syst. , vol.1 , Issue.3 , pp. 269-308
    • Coello, C.A.C.1
  • 21
    • 33644978280 scopus 로고    scopus 로고
    • Evolutionary multi-objective optimization: A historical view of the field
    • Feb.
    • C. A. C. Coello, "Evolutionary multi-objective optimization: A historical view of the field," IEEE Comput. Intell. Mag., vol. 1, no. 1, pp. 28-36, Feb. 2006.
    • (2006) IEEE Comput. Intell. Mag. , vol.1 , Issue.1 , pp. 28-36
    • Coello, C.A.C.1
  • 22
    • 33745727034 scopus 로고    scopus 로고
    • Multi-objective optimization using genetic algorithms: A tutorial
    • Sep.
    • A. Konak, D. W. Cott, and A. E. Smith, "Multi-objective optimization using genetic algorithms: A tutorial," Reliab. Eng. Sys. Safety, vol. 91, no. 9, pp. 992-1007, Sep. 2006.
    • (2006) Reliab. Eng. Sys. Safety , vol.91 , Issue.9 , pp. 992-1007
    • Konak, A.1    Cott, D.W.2    Smith, A.E.3
  • 24
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn and K. Price, "Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces," J. Global Opt., vol. 11, no. 4, pp. 341-359, 1997.
    • (1997) J. Global Opt. , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 25
    • 0030370879 scopus 로고    scopus 로고
    • On Latin hypercube sampling
    • W. L. Loh, "On Latin hypercube sampling," Ann. Stat., vol. 33, no. 6, pp. 2058-2080, 2005.
    • (2005) Ann. Stat. , vol.33 , Issue.6 , pp. 2058-2080
    • Loh, W.L.1
  • 26
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • E. Zitzler, K. Deb, and L. Thiele, "Comparison of multiobjective evolutionary algorithms: Empirical results," Evol. Comput., vol. 8, no. 2, pp. 173-195, 2000.
    • (2000) Evol. Comput. , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 27
    • 33745917564 scopus 로고    scopus 로고
    • Scalable test problems for evolutionary multi-objective optimization
    • A. Abraham, L. Jain, and R. Goldberg, Eds. Berlin, Germany: Springer-Verlag
    • K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable test problems for evolutionary multi-objective optimization," in Evolutionary Multiobjective Optimization, A. Abraham, L. Jain, and R. Goldberg, Eds. Berlin, Germany: Springer-Verlag, 2005, pp. 105-145.
    • (2005) Evolutionary Multiobjective Optimization , pp. 105-145
    • Deb, K.1    Thiele, L.2    Laumanns, M.3    Zitzler, E.4
  • 31
    • 34547295654 scopus 로고    scopus 로고
    • Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion
    • A. Zhou, Y. Jin, Q. Zhang, B. Sendhoff, and E. Tsang, "Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion," in Proc. IEEE CEC, Vancouver, BC, Canada, 2006, pp. 3234-3241.
    • Proc. IEEE CEC, Vancouver, BC, Canada, 2006 , pp. 3234-3241
    • Zhou, A.1    Jin, Y.2    Zhang, Q.3    Sendhoff, B.4    Tsang, E.5
  • 33
    • 79960535211 scopus 로고    scopus 로고
    • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    • J. Derrac, S. Garcia, D. Molina, and F. Herrera, "A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms," Swarm Evol. Comput., vol. 1, no. 1, pp. 3-18, 2011.
    • (2011) Swarm Evol. Comput. , vol.1 , Issue.1 , pp. 3-18
    • Derrac, J.1    Garcia, S.2    Molina, D.3    Herrera, F.4
  • 34
    • 0038237840 scopus 로고    scopus 로고
    • Areal-coded genetic algorithm for function optimization using the unimodal normal distribution crossover
    • O. Isao, S. Hiroshi, and K. Shigenobu, "Areal-coded genetic algorithm for function optimization using the unimodal normal distribution crossover," J. Jap. Soc. Artif. Intell., vol. 14, no. 6, pp. 1146-1155, 1999.
    • (1999) J. Jap. Soc. Artif. Intell. , vol.14 , Issue.6 , pp. 1146-1155
    • Isao, O.1    Hiroshi, S.2    Shigenobu, K.3
  • 35
    • 0000991259 scopus 로고
    • Simulated binary crossover for continuous search space
    • K. Deb and R. B. Agrawal, "Simulated binary crossover for continuous search space," Complex Syst., vol. 9, no. 2, pp. 115-148, 1995.
    • (1995) Complex Syst. , vol.9 , Issue.2 , pp. 115-148
    • Deb, K.1    Agrawal, R.B.2
  • 36
    • 0036885602 scopus 로고    scopus 로고
    • A computationally efficient evolutionary algorithm for real-parameter optimization
    • K. Deb, A. Anand, and D. Joshi, "A computationally efficient evolutionary algorithm for real-parameter optimization," Evol. Comput. J., vol. 10, no. 4, pp. 371-395, 2002.
    • (2002) Evol. Comput. J. , vol.10 , Issue.4 , pp. 371-395
    • Deb, K.1    Anand, A.2    Joshi, D.3
  • 39
    • 0031698375 scopus 로고    scopus 로고
    • Multiobjective optimization and multiple constraint handling with evolutionary algorithms-Part II: Application example
    • Jan.
    • C. Fonseca and P. Flemming, "Multiobjective optimization and multiple constraint handling with evolutionary algorithms-Part II: Application example," IEEE Trans. Syst., Man, Cybern., vol. 28, no. 1, pp. 38-47, Jan. 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. , vol.28 , Issue.1 , pp. 38-47
    • Fonseca, C.1    Flemming, P.2
  • 40
    • 0001720606 scopus 로고
    • A variant of evolution strategies for vector optimization
    • H. Schwefel and R. Männer, Eds. Berlin, Germany: Springer-Verlag
    • F. Kursawe, "A variant of evolution strategies for vector optimization," in Proc. PPSN, H. Schwefel and R. Männer, Eds. Berlin, Germany: Springer-Verlag, 1990, pp. 193-197.
    • (1990) Proc. PPSN , pp. 193-197
    • Kursawe, F.1
  • 42
    • 0029388566 scopus 로고
    • A new method to solve generalized multicriteria optimization problems using a simple genetic algorithm
    • A. Osyczka and S. Kundo, "A new method to solve generalized multicriteria optimization problems using a simple genetic algorithm," Struct. Optim., vol. 10, no. 2, pp. 94-99, 1995.
    • (1995) Struct. Optim. , vol.10 , Issue.2 , pp. 94-99
    • Osyczka, A.1    Kundo, S.2
  • 44
    • 0000852513 scopus 로고
    • Multiobjective function optimization using nondominated sorting genetic algorithms
    • N. Srinivas and K. Deb, "Multiobjective function optimization using nondominated sorting genetic algorithms," Evol. Comput., vol. 2, no. 3, pp. 221-248, 1995.
    • (1995) Evol. Comput. , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 45
    • 0030085393 scopus 로고    scopus 로고
    • Multicriteria optimization using a genetic algorithm for determining a Pareto set
    • R. Viennet, C. Fontiex, and I. Marc, "Multicriteria optimization using a genetic algorithm for determining a Pareto set," J. Syst. Sci., vol. 27, no. 2, pp. 255-260, 1996.
    • (1996) J. Syst. Sci. , vol.27 , Issue.2 , pp. 255-260
    • Viennet, R.1    Fontiex, C.2    Marc, I.3
  • 46
    • 0000543755 scopus 로고    scopus 로고
    • An evolutionary algorithm for multiobjective optimization
    • T. Ray, K. Tai, and K. Seow, "An evolutionary algorithm for multiobjective optimization," Eng. Optim., vol. 33, no. 3, pp. 399-424, 2001.
    • (2001) Eng. Optim. , vol.33 , Issue.3 , pp. 399-424
    • Ray, T.1    Tai, K.2    Seow, K.3
  • 47
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Nov.
    • E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, no. 4, pp. 257-271, Nov. 1999.
    • (1999) IEEE Trans. Evol. Comput. , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 49
    • 81955165132 scopus 로고    scopus 로고
    • Constraint-handling in nature-inspired numerical optimization: Past, present and future
    • E. Mezura-Montes and C. A. Coello Coello, "Constraint-handling in nature-inspired numerical optimization: Past, present and future," Swarm Evol. Comput., vol. 1, no. 4, pp. 173-194, 2011.
    • (2011) Swarm Evol. Comput. , vol.1 , Issue.4 , pp. 173-194
    • Mezura-Montes, E.1    Coello Coello, C.A.2
  • 51
    • 55749088932 scopus 로고    scopus 로고
    • Blessings of maintaining infeasible solutions for constrained multi-objective optimization problems
    • A. Isaacs, T. Ray, and W. Smith, "Blessings of maintaining infeasible solutions for constrained multi-objective optimization problems," in Proc. CEC, Hong Kong, China, 2008, pp. 2785-2792.
    • (2008) Proc. CEC, Hong Kong, China , pp. 2785-2792
    • Isaacs, A.1    Ray, T.2    Smith, W.3
  • 52
    • 65549118660 scopus 로고    scopus 로고
    • Infeasibility driven evolutionary algorithm for constrained optimization
    • E. Mezura-Montes, Ed. Berlin, Germany: Springer-Verlag
    • T. Ray, H. K. Singh, A. Isaacs, and W. Smith, "Infeasibility driven evolutionary algorithm for constrained optimization," in Constraint Handling in Evolutionary Optimization, E. Mezura-Montes, Ed. Berlin, Germany: Springer-Verlag, 2009, pp. 145-165.
    • (2009) Constraint Handling in Evolutionary Optimization , pp. 145-165
    • Ray, T.1    Singh, H.K.2    Isaacs, A.3    Smith, W.4
  • 54
    • 33847208167 scopus 로고    scopus 로고
    • Blended ranking to cross infeasible regions in constrained multiobjective problems
    • N. Young, "Blended ranking to cross infeasible regions in constrained multiobjective problems," in Proc. CIMCA-IAWTIC, Vienna, Austria, 2005, pp. 191-196.
    • Proc. CIMCA-IAWTIC, Vienna, Austria, 2005 , pp. 191-196
    • Young, N.1
  • 55
    • 77950917250 scopus 로고    scopus 로고
    • C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
    • H. K. Singh, T. Ray, and W. Smith, "C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization," Inf. Sci., vol. 180, no. 13, pp. 2499-2513, 2010.
    • (2010) Inf. Sci. , vol.180 , Issue.13 , pp. 2499-2513
    • Singh, H.K.1    Ray, T.2    Smith, W.3
  • 56
    • 79952756383 scopus 로고    scopus 로고
    • Constrained multi-objective optimization algorithm with ensemble of constraint-handling methods
    • B. Qu and P. Suganthan, "Constrained multi-objective optimization algorithm with ensemble of constraint-handling methods," Eng. Optim., vol. 43, no. 4, pp. 403-416, 2011.
    • (2011) Eng. Optim. , vol.43 , Issue.4 , pp. 403-416
    • Qu, B.1    Suganthan, P.2
  • 57
    • 33750254292 scopus 로고    scopus 로고
    • Multi-objective test problems, linkages, and evolutionary methodologies
    • K. Deb, A. Sinha, and S. Kukkonen, "Multi-objective test problems, linkages, and evolutionary methodologies," in Proc. GECCO, Washington, DC, USA, 2006, pp. 1141-1148.
    • Proc. GECCO, Washington, DC, USA, 2006 , pp. 1141-1148
    • Deb, K.1    Sinha, A.2    Kukkonen, S.3
  • 58
    • 22944438731 scopus 로고    scopus 로고
    • Solving rotated multi-objective optimization problems using differential evolution
    • A. W. Iorio and X. Li, "Solving rotated multi-objective optimization problems using differential evolution," in Proc. AJCAI, Cairns, QLD, Australia, 2004, pp. 861-872.
    • Proc. AJCAI, Cairns, QLD, Australia, 2004 , pp. 861-872
    • Iorio, A.W.1    Li, X.2
  • 59
    • 31744437433 scopus 로고    scopus 로고
    • ParEGO: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems
    • Feb.
    • J. Knowles, "ParEGO: A hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems," IEEE Trans. Evol. Comput., vol. 10, no. 1, pp. 50-66, Feb. 2005.
    • (2005) IEEE Trans. Evol. Comput. , vol.10 , Issue.1 , pp. 50-66
    • Knowles, J.1
  • 60
    • 0036198088 scopus 로고    scopus 로고
    • Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence
    • K. C. Giannakoglou, "Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence," Int. Rev. J. Progr. Aerosp. Sci., vol. 38, no. 1, pp. 43-76, 2002.
    • (2002) Int. Rev. J. Progr. Aerosp. Sci. , vol.38 , Issue.1 , pp. 43-76
    • Giannakoglou, K.C.1
  • 61
    • 0034028414 scopus 로고    scopus 로고
    • Efficient improvement of silage additives by using genetic algorithms
    • Apr.
    • Z. S. Davies et al., "Efficient improvement of silage additives by using genetic algorithms," Appl. Environ. Microbiol., vol. 66, no. 4, pp. 1435-1443, Apr. 2000.
    • (2000) Appl. Environ. Microbiol. , vol.66 , Issue.4 , pp. 1435-1443
    • Davies, Z.S.1
  • 62
    • 0035501875 scopus 로고    scopus 로고
    • Combinatorial searches of inorganic materials using the inkjet printer: Science philosophy and technology
    • J. R. G. Evans, M. J. Edirisinghe, and P. V. C. J. Eames, "Combinatorial searches of inorganic materials using the inkjet printer: Science philosophy and technology," J. Eur. Ceramic Soc., vol. 21, no. 13, pp. 2291-2299, 2001.
    • (2001) J. Eur. Ceramic Soc. , vol.21 , Issue.13 , pp. 2291-2299
    • Evans, J.R.G.1    Edirisinghe, M.J.2    Eames, P.V.C.J.3
  • 63
    • 0028871023 scopus 로고
    • Medium optimization by genetic algorithm for continuous production of formate dehydrogenase
    • D. Weuster-Botz and C. Wandrey, "Medium optimization by genetic algorithm for continuous production of formate dehydrogenase," Process Biochem., vol. 30, no. 6, pp. 563-571, 1995.
    • (1995) Process Biochem. , vol.30 , Issue.6 , pp. 563-571
    • Weuster-Botz, D.1    Wandrey, C.2
  • 64
    • 0344305671 scopus 로고    scopus 로고
    • Explanatory optimization of protein mass spectrometry via genetic search
    • S. Vaidyanathan, D. I. Broadhurst, D. B. Kell, and R. Goodacre, "Explanatory optimization of protein mass spectrometry via genetic search," Anal. Chem., vol. 75, no. 23, pp. 6679-6686, 2003.
    • (2003) Anal. Chem. , vol.75 , Issue.23 , pp. 6679-6686
    • Vaidyanathan, S.1    Broadhurst, D.I.2    Kell, D.B.3    Goodacre, R.4
  • 65
    • 4444302949 scopus 로고    scopus 로고
    • Selective detection of proteins in mixtures using electrospray ionization mass spectrometry: Influence of instrumental settings and implications for proteomics
    • S. Vaidyanathan, D. Kell, and R. Goodacre, "Selective detection of proteins in mixtures using electrospray ionization mass spectrometry: Influence of instrumental settings and implications for proteomics," Anal. Chem., vol. 76, no. 17, pp. 5024-5032, 2004.
    • (2004) Anal. Chem. , vol.76 , Issue.17 , pp. 5024-5032
    • Vaidyanathan, S.1    Kell, D.2    Goodacre, R.3
  • 66
    • 79960530761 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A survey of the state-of-the-art
    • Mar.
    • A. Zhou et al., "Multiobjective evolutionary algorithms: A survey of the state-of-the-art," Swarm Evol. Comput., vol. 1, no. 1, pp. 32-49, Mar. 2011.
    • (2011) Swarm Evol. Comput. , vol.1 , Issue.1 , pp. 32-49
    • Zhou, A.1
  • 67
    • 77953651003 scopus 로고    scopus 로고
    • Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection
    • B. Y. Qu and P. N. Suganthan, "Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection," Inf. Sci., vol. 180, no. 17, pp. 3170-3181, 2010.
    • (2010) Inf. Sci. , vol.180 , Issue.17 , pp. 3170-3181
    • Qu, B.Y.1    Suganthan, P.N.2
  • 68
    • 79961137004 scopus 로고    scopus 로고
    • Multi-objective differential evolution based on the summation of normalized objectives and improved selection method
    • B. Y. Qu and P. N. Suganthan, "Multi-objective differential evolution based on the summation of normalized objectives and improved selection method," in Proc. IEEE SDE, Paris, France, Apr. 2011, pp. 1-8.
    • Proc. IEEE SDE, Paris, France, Apr. 2011 , pp. 1-8
    • Qu, B.Y.1    Suganthan, P.N.2
  • 69
    • 0034869196 scopus 로고    scopus 로고
    • A hardware implementation of the compact genetic algorithm
    • C. Aporntewan and P. Chongstitvatana, "A hardware implementation of the compact genetic algorithm," in Proc. CEC, Seoul, Korea, 2001, pp. 624-629.
    • (2001) Proc. CEC, Seoul, Korea , pp. 624-629
    • Aporntewan, C.1    Chongstitvatana, P.2
  • 71
    • 84882411825 scopus 로고    scopus 로고
    • Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems
    • Apr.
    • Z. H. Zhan et al., "Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems," IEEE Trans. Cybern., vol. 43, no. 2, pp. 445-463, Apr. 2013.
    • (2013) IEEE Trans. Cybern. , vol.43 , Issue.2 , pp. 445-463
    • Zhan, Z.H.1
  • 72
    • 84896866756 scopus 로고    scopus 로고
    • Combining crowding estimation in objective and decision space with multiple selection and search strategies for multi-objective evolutionary optimization
    • May
    • H. Xia, J. Zhuang, and D. Yu, "Combining crowding estimation in objective and decision space with multiple selection and search strategies for multi-objective evolutionary optimization," IEEE Trans. Cybern., vol. 44, no. 3, pp. 378-393, May 2013.
    • (2013) IEEE Trans. Cybern. , vol.44 , Issue.3 , pp. 378-393
    • Xia, H.1    Zhuang, J.2    Yu, D.3
  • 73
    • 84887023875 scopus 로고    scopus 로고
    • MOEA/D-ACO: A multiobjective evolutionary algorithm using decomposition and ant colony
    • Dec.
    • L. Ke, Q. Zhang, and R. Battiti, "MOEA/D-ACO: A multiobjective evolutionary algorithm using decomposition and ant colony," IEEE Trans. Cybern., vol. 43, no. 6, pp. 1845-1859, Dec. 2013.
    • (2013) IEEE Trans. Cybern. , vol.43 , Issue.6 , pp. 1845-1859
    • Ke, L.1    Zhang, Q.2    Battiti, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.