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Volumn 16, Issue 3, 2012, Pages 373-390

Multiobjectivization via helper-objectives with the tunable objectives problem

Author keywords

Helper objectives; multiobjectivization; tunable objectives problem (TOP)

Indexed keywords

HELPER-OBJECTIVES; LOCAL OPTIMA; MODELING POWER; MULTIOBJECTIVIZATION; MULTIPLE LAYERS; OPTIMIZATION TECHNIQUES; PROBLEM DIFFICULTY; PROBLEM STRUCTURE; SIGNAL TO NOISE; TUNABLE OBJECTIVES PROBLEM (TOP);

EID: 84861806490     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2011.2136345     Document Type: Article
Times cited : (24)

References (32)
  • 1
    • 77955866878 scopus 로고    scopus 로고
    • Deterministic helper-objective sequence applied to the job-shop scheduling problem
    • D. F. Lochtefeld and F. W. Ciarallo, Deterministic helper-objective sequence applied to the job-shop scheduling problem, in Proc. 12th Annu. Conf. GECCO, 2010, pp. 431-438.
    • (2010) Proc. 12th Annu. Conf. GECCO , pp. 431-438
    • Lochtefeld, D.F.1    Ciarallo, F.W.2
  • 2
    • 20944439075 scopus 로고    scopus 로고
    • Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation
    • M. T. Jensen, Helper-objectives: Using multiobjective evolutionary algorithms for single-objective optimization, J. Math. Model. Algor., vol. 3, no. 4, pp. 323-347, 2004. (Pubitemid 40317582)
    • (2004) Journal of Mathematical Modelling and Algorithms , vol.3 , Issue.4 , pp. 323-347
    • Jensen, M.T.1
  • 3
    • 84931320658 scopus 로고
    • Reducing local optima in single-objective problems by multi-objectivization
    • J. D. Knowles, R. A. Watson, and D. W. Corne, Reducing local optima in single-objective problems by multi-objectivization, in Proc. 1st Int. Conf. EMO), LNCS 1993. 2001, pp. 269-283.
    • (1993) Proc. 1st Int. Conf. EMO), LNCS , pp. 269-283
    • Knowles, J.D.1    Watson, R.A.2    Corne, D.W.3
  • 4
    • 79956125288 scopus 로고    scopus 로고
    • Helper-objective optimization strategies for the job-shop scheduling problem
    • D. F. Lochtefeld and F. W. Ciarallo, Helper-objective optimization strategies for the job-shop scheduling problem, J. Appl. Soft Comp., vol. 11, no. 6, pp. 4161-4174, 2011.
    • (2011) J. Appl. Soft Comp. , vol.11 , Issue.6 , pp. 4161-4174
    • Lochtefeld, D.F.1    Ciarallo, F.W.2
  • 6
    • 72749107908 scopus 로고    scopus 로고
    • Evolutionary algorithms and multiobjectivization for the traveling salesman problem
    • M. Jahne, X. Li, and J. Branke, Evolutionary algorithms and multiobjectivization for the traveling salesman problem, in Proc. 11th Annu. Conf. GECCO, 2009, pp. 595-602.
    • (2009) Proc. 11th Annu. Conf. GECCO , pp. 595-602
    • Jahne, M.1    Li, X.2    Branke, J.3
  • 7
    • 56449108101 scopus 로고    scopus 로고
    • Multi-objectivization by decomposition of scalar cost functions
    • J. Handl, S. C. Lovell, and J. Knowles, Multi-objectivization by decomposition of scalar cost functions, in Proc. 10th Int. Conf. PPSN, LNCS 5199. 2008, pp. 31-40.
    • (2008) Proc. 10th Int. Conf. PPSN, LNCS , vol.5199 , pp. 31-40
    • Handl, J.1    Lovell, S.C.2    Knowles, J.3
  • 8
    • 84901404865 scopus 로고    scopus 로고
    • The Pareto archived evolution strategy: A new baseline algorithm for Pareto multiobjective optimization
    • J. Knowles and D. Corne, The Pareto archived evolution strategy: A new baseline algorithm for Pareto multiobjective optimization, in Proc. CEC, 1999, pp. 98-105.
    • (1999) Proc. CEC , pp. 98-105
    • Knowles, J.1    Corne, D.2
  • 9
    • 35248825030 scopus 로고    scopus 로고
    • Guiding single-objective optimization using multiobjective methods
    • Berlin, Germany: Springer
    • M. T. Jensen, Guiding single-objective optimization using multiobjective methods, in Applications of Evolutionary Computing (Lecture Notes in Computer Science, vol. 2611). Berlin, Germany: Springer, 2003, pp. 91-98.
    • (2003) Applications of Evolutionary Computing (Lecture Notes in Computer Science , vol.2611 , pp. 91-98
    • Jensen, M.T.1
  • 12
    • 0000473160 scopus 로고
    • Genetic algorithms andWalsh functions: Part I, a gentle introduction
    • D. E. Goldberg, Genetic algorithms andWalsh functions: Part I, a gentle introduction, Complex Syst., vol. 3, no. 2, pp. 129-152, 1989.
    • (1989) Complex Syst. , vol.3 , Issue.2 , pp. 129-152
    • Goldberg, D.E.1
  • 13
    • 0000473160 scopus 로고
    • Genetic algorithms and Walsh functions: Part II, deception and its analysis
    • D. E. Goldberg, Genetic algorithms and Walsh functions: Part II, deception and its analysis, Complex Syst., vol. 3, no. 2, pp. 153-171, 1989.
    • (1989) Complex Syst. , vol.3 , Issue.2 , pp. 153-171
    • Goldberg, D.E.1
  • 14
    • 0002460716 scopus 로고
    • Epistasis variance: A viewpoint on GA-hardness
    • San Mateo, CA: Morgan Kaufmann
    • Y. Davidor, Epistasis variance: A viewpoint on GA-hardness, in Foundations of Genetic Algorithms-1. San Mateo, CA: Morgan Kaufmann, 1991, pp. 23-35.
    • (1991) Foundations of Genetic Algorithms-1 , pp. 23-35
    • Davidor, Y.1
  • 15
    • 0002084307 scopus 로고    scopus 로고
    • Ruggedness and neutrality: The NKp family of fitness landscapes
    • L. Barnett, Ruggedness and neutrality: The NKp family of fitness landscapes, in Proc. 6th Int. Conf. Artif. Life, 1998, pp. 18-27.
    • (1998) Proc. 6th Int. Conf. Artif. Life , pp. 18-27
    • Barnett, L.1
  • 16
    • 0001844324 scopus 로고
    • An overview of genetic algorithms: Part 1. Fundamentals
    • D. Beasley, R. R. Martin, and D. R. Bull, An overview of genetic algorithms: Part 1. Fundamentals, Univ. Comput., vol. 15, no. 2, p. 58, 1993.
    • (1993) Univ. Comput. , vol.15 , Issue.2 , pp. 58
    • Beasley, D.1    Martin, R.R.2    Bull, D.R.3
  • 17
    • 0002974147 scopus 로고    scopus 로고
    • Epistasis as a basic concept in formal landscape analysis
    • B. Naudts, D. Suys, and A. Verschoren, Epistasis as a basic concept in formal landscape analysis, in Proc. 7th ICGA, 1997, pp. 65-72.
    • (1997) Proc. 7th ICGA , pp. 65-72
    • Naudts, B.1    Suys, D.2    Verschoren, A.3
  • 18
  • 19
    • 0012279561 scopus 로고
    • Epistasis in genetic algorithms: An experimental design perspective
    • C. R. Reeves and C. C. Wright, Epistasis in genetic algorithms: An experimental design perspective, in Proc. 6th Int. Conf. Genet. Algorithms, 1995, pp. 217-224.
    • (1995) Proc. 6th Int. Conf. Genet. Algorithms , pp. 217-224
    • Reeves, C.R.1    Wright, C.C.2
  • 21
    • 33748563153 scopus 로고    scopus 로고
    • Generalized royal road functions and their epistasis
    • B. Naudts, D. Suys, and A. Verschoren, Generalized royal road functions and their epistasis, Comput. Artif. Intell., vol. 19, no. 4, pp. 317-334, 2000.
    • (2000) Comput. Artif. Intell. , vol.19 , Issue.4 , pp. 317-334
    • Naudts, B.1    Suys, D.2    Verschoren, A.3
  • 22
    • 0024803111 scopus 로고
    • The NK model of rugged fitness landscapes and its application to maturation of the immune response
    • DOI 10.1016/S0022-5193(89)80019-0
    • S. A. Kauffman and E. D. Weinberger, The NK model of rugged fitness landscapes and its application to maturation of the immune response, J. Theor. Biol., vol. 141, no. 2, pp. 211-245, Nov. 1989. (Pubitemid 20036173)
    • (1989) Journal of Theoretical Biology , vol.141 , Issue.2 , pp. 211-245
    • Kauffman, S.A.1    Weinberger, E.D.2
  • 24
    • 0024991769 scopus 로고
    • Correlated and uncorrelated fitness landscapes and how to tell the difference
    • DOI 10.1007/BF00202749
    • E. Weinberger, Correlated and uncorrelated fitness landscapes and how to tell the difference, Biol. Cybern., vol. 63, no. 5, pp. 325-336, 1990. (Pubitemid 20289470)
    • (1990) Biological Cybernetics , vol.63 , Issue.5 , pp. 325-336
    • Weinberger, E.1
  • 25
  • 28
    • 57349195561 scopus 로고    scopus 로고
    • A tunable model for multiobjective, epistatic, rugged, and neutral fitness landscapes
    • T. Weise, S. Niemczyk, H. Skubch, R. Reichle, and K. Geihs, A tunable model for multiobjective, epistatic, rugged, and neutral fitness landscapes, in Proc. 10th Annu. Conf. GECCO, 2008, pp. 795-802.
    • (2008) Proc. 10th Annu. Conf. GECCO , pp. 795-802
    • Weise, T.1    Niemczyk, S.2    Skubch, H.3    Reichle, R.4    Geihs, K.5
  • 29
    • 84943817322 scopus 로고
    • Error detecting and error correcting codes
    • Apr.
    • R. W. Hamming, Error detecting and error correcting codes, Bell Syst. Tech. J., vol. 29, pp. 147-160, Apr. 1950.
    • (1950) Bell Syst. Tech. J. , vol.29 , pp. 147-160
    • Hamming, R.W.1
  • 30
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • DOI 10.1109/4235.996017, PII S1089778X02041012
    • K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comp., vol. 6, no. 2, pp. 182-197, Apr. 2002. (Pubitemid 34555372)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 31
    • 0001157019 scopus 로고
    • Needed: An empirical science of algorithms
    • J. N. Hooker, Needed: An empirical science of algorithms, Oper. Res., vol. 42, no. 2, pp. 201-212, 1994.
    • (1994) Oper. Res. , vol.42 , Issue.2 , pp. 201-212
    • Hooker, J.N.1
  • 32
    • 0035521426 scopus 로고    scopus 로고
    • Generating experimental data for computational testing with machine scheduling applications
    • N. G. Hall and M. E. Posner, Generating experimental data for computational testing with machine scheduling applications, Oper. Res., vol. 49, no. 6, pp. 854-865, Nov. 2001. (Pubitemid 34271873)
    • (2001) Operations Research , vol.49 , Issue.6 , pp. 854-865
    • Hall, N.G.1    Posner, M.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.