메뉴 건너뛰기




Volumn 32, Issue 3, 2010, Pages 231-248

A diversity preserving selection in multiobjective evolutionary algorithms

Author keywords

Diversity preservation; Elitism; Multiobjective evolution algorithms; Multiobjective optimization; Scaled objectives; Selection

Indexed keywords

DIVERSITY PRESERVATION; DIVERSITY PRESERVING MECHANISM; LONG TERM; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE EVOLUTION ALGORITHMS; NONDOMINATED SOLUTIONS; SCALING PROBLEM;

EID: 77952010777     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-008-0140-0     Document Type: Article
Times cited : (12)

References (27)
  • 2
    • 35048870158 scopus 로고    scopus 로고
    • Real-coded bayesian optimization algorithm: Bringing the strength of BOA into the continuous world
    • Springer Berlin
    • Ahn CW, Goldberg DE, Ramakrishna RS (2004) Real-coded bayesian optimization algorithm: Bringing the strength of BOA into the continuous world. In: Lecture notes in computer science, vol 3102. Springer, Berlin, pp 840-851
    • (2004) Lecture Notes in Computer Science , vol.3102 , pp. 840-851
    • Ahn, C.W.1    Goldberg, D.E.2    Ramakrishna, R.S.3
  • 3
    • 34548103604 scopus 로고    scopus 로고
    • Multiobjective real-coded Bayesian optimization algorithm revisited: Diversity preservation
    • ACM New York
    • Ahn CW, Ramakrishna RS (2007) Multiobjective real-coded Bayesian optimization algorithm revisited: Diversity preservation. In: Proc. of GECCO'07. ACM, New York, pp 593-600
    • (2007) Proc. of GECCO'07 , pp. 593-600
    • Ahn, C.W.1    Ramakrishna, R.S.2
  • 4
    • 0036856506 scopus 로고    scopus 로고
    • Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms
    • DOI 10.1016/S0888-613X(02)00090-7, PII S0888613X02000907
    • PAN Bosman D Thierens 2002 Multiobjective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithm Int J Approx Reasoning 31 3 259 289 1056.68114 10.1016/S0888-613X(02)00090-7 1950896 (Pubitemid 35411833)
    • (2002) International Journal of Approximate Reasoning , vol.31 , Issue.3 , pp. 259-289
    • Bosman, P.A.N.1    Thierens, D.2
  • 5
    • 0038612858 scopus 로고    scopus 로고
    • The balance between proximity and diversity in multiobjective evolutionary algorithm
    • 10.1109/TEVC.2003.810761
    • PAN Bosman D Thierens 2003 The balance between proximity and diversity in multiobjective evolutionary algorithm IEEE Trans Evol Comput 7 2 174 188 10.1109/TEVC.2003.810761
    • (2003) IEEE Trans Evol Comput , vol.7 , Issue.2 , pp. 174-188
    • Bosman, P.A.N.1    Thierens, D.2
  • 6
    • 27144506745 scopus 로고    scopus 로고
    • Theory and applications of efficient multiobjective evolutionary algorithms
    • PhD dissertation Taiwan, R.O.C
    • Chen JH (2004) Theory and applications of efficient multiobjective evolutionary algorithms. PhD dissertation, Feng Chia Univ., Taiwan, R.O.C
    • (2004) Feng Chia Univ.
    • Chen, J.H.1
  • 7
    • 33750989901 scopus 로고    scopus 로고
    • A population adaptive based immune algorithm for solving multi-objective optimization problems
    • Springer Berlin
    • Chen J, Mahfouf M (2006) A population adaptive based immune algorithm for solving multi-objective optimization problems. In: ICARIS'06. Lecture notes in computer science, vol 4163. Springer, Berlin, pp 280-293
    • (2006) ICARIS'06 .Lecture Notes in Computer Science , vol.4163 , pp. 280-293
    • Chen, J.1    Mahfouf, M.2
  • 8
    • 33751021385 scopus 로고    scopus 로고
    • Omni-aiNet: An immune-inspired approach for omni optimization
    • Springer Berlin
    • Coelho GP, Von Zuben FJ (2006) Omni-aiNet: an immune-inspired approach for omni optimization. In: ICARIS'06. Lecture notes in computer science, vol 4163. Springer, Berlin, pp 294-308
    • (2006) ICARIS'06 .Lecture Notes in Computer Science , vol.4163 , pp. 294-308
    • Coelho, G.P.1    Von Zuben, F.J.2
  • 9
    • 3142756516 scopus 로고    scopus 로고
    • Handling multiple objectives with particle swarm optimization
    • 10.1109/TEVC.2004.826067
    • CAC Coello GT Pulido MS Lechuga 2004 Handling multiple objectives with particle swarm optimization IEEE Trans Evol Comput 8 3 256 279 10.1109/TEVC.2004.826067
    • (2004) IEEE Trans Evol Comput , vol.8 , Issue.3 , pp. 256-279
    • Coello, C.A.C.1    Pulido, G.T.2    Lechuga, M.S.3
  • 11
    • 33947224691 scopus 로고    scopus 로고
    • An investigation on preference order ranking scheme for multiobjective evolutionary optimization
    • DOI 10.1109/TEVC.2006.876362
    • F di Pierro ST Khu DA Savic 2007 An investigation on preference order ranking scheme for multiobjective evolutionary optimization IEEE Trans Evol Comput 11 1 17 45 10.1109/TEVC.2006.876362 (Pubitemid 46421666)
    • (2007) IEEE Transactions on Evolutionary Computation , vol.11 , Issue.1 , pp. 17-45
    • Di Pierro, F.1    Khu, S.-T.2    Savic, D.A.3
  • 13
    • 3142781424 scopus 로고    scopus 로고
    • A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence
    • Fieldsend JE, Singh S (2002) A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence. In: Proc of 2002 UK workshop on computational intelligence, pp 37-44
    • (2002) Proc of 2002 UK Workshop on Computational Intelligence , pp. 37-44
    • Fieldsend, J.E.1    Singh, S.2
  • 14
    • 0031701082 scopus 로고    scopus 로고
    • Multiobjective optimization and multiple constraint handling with evolutionary algorithms-part I: A unified formulation
    • 10.1109/3468.650319
    • CM Fonseca PJ Fleming 1998 Multiobjective optimization and multiple constraint handling with evolutionary algorithms-part I: a unified formulation IEEE Tran Syst Man Cybern B 28 1 26 37 10.1109/3468.650319
    • (1998) IEEE Tran Syst Man Cybern B , vol.28 , Issue.1 , pp. 26-37
    • Fonseca, C.M.1    Fleming, P.J.2
  • 16
    • 84944313970 scopus 로고    scopus 로고
    • Bayesian optimization algorithms for multi-objective optimization
    • Springer Berlin
    • Laumanns M, Ocenasek J (2002) Bayesian optimization algorithms for multi-objective optimization. In: PPSN VII. Lecture notes in computer science, vol 2439. Springer, Berlin, pp 298-307
    • (2002) PPSN VII .Lecture Notes in Computer Science , vol.2439 , pp. 298-307
    • Laumanns, M.1    Ocenasek, J.2
  • 17
    • 35248851524 scopus 로고    scopus 로고
    • A nondominated sorting particle swarm optimizer for multiobjective optimization
    • Springer Berlin
    • Li X et al. (2003) A nondominated sorting particle swarm optimizer for multiobjective optimization. In: GECCO'03. Lecture notes in computer science, vol 2723. Springer, Berlin, pp 37-48
    • (2003) GECCO'03 .Lecture Notes in Computer Science , vol.2723 , pp. 37-48
    • Li, X.1
  • 18
    • 0042863389 scopus 로고    scopus 로고
    • Rank-density-based multiobjective genetic algorithm and benchmark test function study
    • 10.1109/TEVC.2003.812220
    • H Lu G Yen 2003 Rank-density-based multiobjective genetic algorithm and benchmark test function study IEEE Trans Evol Comput 7 4 325 343 10.1109/TEVC.2003.812220
    • (2003) IEEE Trans Evol Comput , vol.7 , Issue.4 , pp. 325-343
    • Lu, H.1    Yen, G.2
  • 19
    • 0001703168 scopus 로고
    • The science of breeding and its application to the breeder genetic algorithm (BGA)
    • 10.1162/evco.1993.1.4.335
    • H Mühlenbein D Schlierkamp-Voosen 1993 The science of breeding and its application to the breeder genetic algorithm (BGA) Evol Comput 1 4 335 360 10.1162/evco.1993.1.4.335
    • (1993) Evol Comput , vol.1 , Issue.4 , pp. 335-360
    • Mühlenbein, H.1    Schlierkamp-Voosen, D.2
  • 20
  • 21
    • 34548074857 scopus 로고    scopus 로고
    • Dynamic uniform scaling for multiobjective genetic algorithms
    • Springer Berlin
    • Pedersen G, Goldberg DE (2004) Dynamic uniform scaling for multiobjective genetic algorithms. In: GECCO'04. Lecture notes in computer science, vol 3103. Springer, Berlin, pp 11-23
    • (2004) GECCO'04 .Lecture Notes in Computer Science , vol.3103 , pp. 11-23
    • Pedersen, G.1    Goldberg, D.E.2
  • 22
    • 32444433272 scopus 로고    scopus 로고
    • Multiobjective hBOA, clustering, and scalability
    • ACM New York
    • Pelikan M, Sastry K, Goldberg DE (2005) Multiobjective hBOA, clustering, and scalability. In: Proc. of GECCO'05. ACM, New York, pp 663-670
    • (2005) Proc. of GECCO'05 , pp. 663-670
    • Pelikan, M.1    Sastry, K.2    Goldberg, D.E.3
  • 23
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithms
    • 10.1162/evco.1994.2.3.221
    • N Srinivas K Deb 1995 Multiobjective optimization using nondominated sorting in genetic algorithms Evol Comput 2 3 221 248 10.1162/evco.1994.2.3.221
    • (1995) Evol Comput , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 24
    • 0031118203 scopus 로고    scopus 로고
    • No free lunch theorems for optimization
    • 10.1109/4235.585893
    • DH Wolpert WG Macready 1997 No free lunch theorems for optimization IEEE Trans Evol Comput 1 1 67 82 10.1109/4235.585893
    • (1997) IEEE Trans Evol Comput , vol.1 , Issue.1 , pp. 67-82
    • Wolpert, D.H.1    MacReady, W.G.2
  • 25
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms a comparative case study and the strength pareto approach
    • DOI 10.1109/4235.797969
    • E Zitzler L Thiele 1999 Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach IEEE Trans Evol Comput 3 4 257 271 10.1109/4235.797969 (Pubitemid 30544879)
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler Eckart1    Thiele Lothar2
  • 27
    • 35048846146 scopus 로고    scopus 로고
    • Indicator-based selection in multiobjective search
    • Springer Berlin
    • Zitzler E, Künzli S (2004) Indicator-based selection in multiobjective search. In: PPSN VIII. Lecture notes in computer science, vol 3242. Springer, Berlin, pp 832-842
    • (2004) PPSN VIII .Lecture Notes in Computer Science , vol.3242 , pp. 832-842
    • Zitzler, E.1    Künzli, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.