메뉴 건너뛰기




Volumn 198, Issue , 2012, Pages 100-117

Effective search for Pittsburgh learning classifier systems via estimation of distribution algorithms

Author keywords

Bayesian optimization algorithm; Estimation of distribution algorithm; Evolutionary computation; Genetics based machine learning; Learning classifier system

Indexed keywords

BAYESIAN OPTIMIZATION ALGORITHMS; BINARY CLASSIFICATION PROBLEMS; CANDIDATE SOLUTION; CROSSOVER OPERATOR; ESTIMATION OF DISTRIBUTION ALGORITHM; ESTIMATION OF DISTRIBUTION ALGORITHMS; EVOLUTIONARY SEARCH; EXPERIMENTAL STUDIES; GENETICS BASED MACHINE LEARNING; LEARNING CLASSIFIER SYSTEM; PITTSBURGH; RULE-BASED CLASSIFICATION; SEARCH SPACES; SINGLE-RULE; STATISTICAL INFORMATION; STRONG INTERACTION; UNIFORM CROSSOVER OPERATOR; VARIABLE NUMBER;

EID: 84862832348     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.02.059     Document Type: Article
Times cited : (10)

References (36)
  • 3
    • 33750272767 scopus 로고    scopus 로고
    • Smart crossover operator with multiple parents for a pittsburgh learning classifier system
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • J. Bacardit, N. Krasnogor, Smart crossover operator with multiple parents for a pittsburgh learning classifier system, in: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, GECCO '06, 2006, pp. 1441-1448. (Pubitemid 44611498)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.2 , pp. 1441-1448
    • Bacardit, J.1    Krasnogor, N.2
  • 4
    • 70349632412 scopus 로고    scopus 로고
    • Performance and efficiency of Memetic Pittsburgh learning classifier systems
    • J. Bacardit, and N. Krasnogor Performance and efficiency of Memetic Pittsburgh learning classifier systems Evolutionary Computation 17 3 2009 307 342
    • (2009) Evolutionary Computation , vol.17 , Issue.3 , pp. 307-342
    • Bacardit, J.1    Krasnogor, N.2
  • 5
    • 0043284115 scopus 로고    scopus 로고
    • Accuracy-Based Learning Classifier Systems: Models, Analysis and Applications to Classification Tasks
    • DOI 10.1162/106365603322365289
    • E. Bernadó-Mansilla, and J.M. Garrell-Guiu Accuracy-based learning classifier systems: models, analysis and applications to classification tasks Evolutionary Computation 11 3 2003 209 238 (Pubitemid 37106807)
    • (2003) Evolutionary Computation , vol.11 , Issue.3 , pp. 209-238
    • Bernado-Mansilla, E.1    Garrell-Guiu, J.M.2
  • 8
    • 0041780883 scopus 로고    scopus 로고
    • Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy
    • DOI 10.1162/106365603322365298
    • M.V. Butz, D.E. Goldberg, and K. Tharakunnel Analysis and improvement of fitness exploitation in XCS: bounding models, tournament selection, and bilateral accuracy Evolutionary Computation 11 3 2003 239 277 (Pubitemid 37106808)
    • (2003) Evolutionary Computation , vol.11 , Issue.3 , pp. 239-277
    • Butz, M.V.1    Goldberg, D.E.2    Tharakunnel, K.3
  • 9
    • 33750578932 scopus 로고    scopus 로고
    • Automated global structure extraction for effective local building block processing in XCS
    • DOI 10.1162/evco.2006.14.3.345
    • M.V. Butz, M. Pelikan, X. Llorà, and D.E. Goldberg Automated global structure extraction for effective local building block processing in XCS Evolutionary Computation 14 3 2006 345 380 (Pubitemid 44699557)
    • (2006) Evolutionary Computation , vol.14 , Issue.3 , pp. 345-380
    • Butz, M.V.1    Pelikan, M.2    Llora, X.3    Goldberg, D.E.4
  • 10
    • 0027696338 scopus 로고
    • Using genetic algorithms for concept learning
    • K.A. DeJong, W.M. Spears, and D.F. Gordon Using genetic algorithms for concept learning Machine Learning 13 2-3 1993 161 188
    • (1993) Machine Learning , vol.13 , Issue.23 , pp. 161-188
    • Dejong, K.A.1    Spears, W.M.2    Gordon, D.F.3
  • 11
    • 44949177605 scopus 로고    scopus 로고
    • Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
    • W. Dong, and X. Yao Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms Information Sciences 178 15 2008 3000 3023
    • (2008) Information Sciences , vol.178 , Issue.15 , pp. 3000-3023
    • Dong, W.1    Yao, X.2
  • 12
    • 77549084648 scopus 로고    scopus 로고
    • Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
    • S. García, A. Fernández, J. Luengo, and F. Herrera Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power Information Sciences 180 10 2010 2044 2064
    • (2010) Information Sciences , vol.180 , Issue.10 , pp. 2044-2064
    • García, S.1    Fernández, A.2    Luengo, J.3    Herrera, F.4
  • 17
    • 51849133416 scopus 로고    scopus 로고
    • Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ECGA)
    • M. Pelikan, K. Sastry, E. Cantá-Paz, Springer Berlin
    • G.R. Harik, F. Lobo, and K. Sastry Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ECGA) M. Pelikan, K. Sastry, E. Cantá-Paz, Scalable Optimization via Probabilistic Modeling 2006 Springer Berlin 39 61
    • (2006) Scalable Optimization Via Probabilistic Modeling , pp. 39-61
    • Harik, G.R.1    Lobo, F.2    Sastry, K.3
  • 19
    • 0001666176 scopus 로고
    • Cognitive systems based on adaptive algorithms
    • D.A. Waterman, F. Hayes-Roth, Academic Press San Diego
    • J.H. Holland, and J.S. Reitman Cognitive systems based on adaptive algorithms D.A. Waterman, F. Hayes-Roth, Pattern-directed inference systems 1978 Academic Press San Diego 313 329
    • (1978) Pattern-directed Inference Systems , pp. 313-329
    • Holland, J.H.1    Reitman, J.S.2
  • 20
    • 0027696178 scopus 로고
    • A knowledge-intensive genetic algorithm for supervised learning
    • C.Z. Janikow A knowledge-intensive genetic algorithm for supervised learning Machine Learning 13 2-3 1993 189 228
    • (1993) Machine Learning , vol.13 , Issue.23 , pp. 189-228
    • Janikow, C.Z.1
  • 22
    • 27344452492 scopus 로고    scopus 로고
    • A tutorial for competent memetic algorithms: Model, taxonomy, and design issues
    • DOI 10.1109/TEVC.2005.850260
    • N. Krasnogor, and J. Smith A tutorial for competent memetic algorithms: model, taxonomy, and design issues IEEE Transactions on Evolutionary Computation 9 5 2005 474 488 (Pubitemid 41522757)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.5 , pp. 474-488
    • Krasnogor, N.1    Smith, J.2
  • 24
    • 79960493164 scopus 로고
    • On evolution, search, optimization, GAs and martial arts: Toward memetic algorithms
    • California Institute of Technology, Caltech Concurrent Computation Program, Pasadena, CA
    • P. Moscato, On evolution, search, optimization, GAs and martial arts: toward memetic algorithms, Tech. Rep. 826, California Institute of Technology, Caltech Concurrent Computation Program, Pasadena, CA, 1989.
    • (1989) Tech. Rep. 826
    • Moscato, P.1
  • 27
    • 34948812541 scopus 로고    scopus 로고
    • Introducing assignment functions to Bayesian optimization algorithms
    • DOI 10.1016/j.ins.2007.08.014, PII S0020025507003817
    • M. Munetomo, N. Murao, and K. Akama Introducing assignment functions to Bayesian optimization algorithms Information Sciences 178 1 2008 152 163 (Pubitemid 47531790)
    • (2008) Information Sciences , vol.178 , Issue.1 , pp. 152-163
    • Munetomo, M.1    Murao, N.2    Akama, K.3
  • 28
    • 71249099613 scopus 로고    scopus 로고
    • Genetic-based machine learning systems are competitive for pattern recognition
    • A. Orriols-Puig, J. Casillas, and E. Bernadó-Mansilla Genetic-based machine learning systems are competitive for pattern recognition Evolutionary Intelligence 1 3 2008 209 232
    • (2008) Evolutionary Intelligence , vol.1 , Issue.3 , pp. 209-232
    • Orriols-Puig, A.1    Casillas, J.2    Bernadó-Mansilla, E.3
  • 30
    • 0001171707 scopus 로고    scopus 로고
    • BOA: The Bayesian optimization algorithm
    • M. Pelikan, D.E. Goldberg, E. Cantá-Paz, BOA: the Bayesian optimization algorithm. in: Proceedings of GECCO-99, 1999, pp. 525-532.
    • (1999) Proceedings of GECCO-99 , pp. 525-532
    • Pelikan, M.1
  • 31
    • 0036180213 scopus 로고    scopus 로고
    • A survey of optimization by building and using probabilistic models
    • DOI 10.1023/A:1013500812258
    • M. Pelikan, D.E. Goldberg, and F.G. Lobo A survey of optimization by building and using probabilistic models Computational Optimization and Applications 21 1 2002 5 20 (Pubitemid 34172679)
    • (2002) Computational Optimization and Applications , vol.21 , Issue.1 , pp. 5-20
    • Pelikan, M.1    Goldberg, D.E.2    Lobo, F.G.3
  • 34
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • S.W. Wilson Classifier fitness based on accuracy Evolutionary Computation 3 2 1995 149 175
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1
  • 35
    • 34547505610 scopus 로고    scopus 로고
    • A memetic learning classifier system for describing continuous-valued problem spaces
    • W. Hart, J. Smith, N. Krasnogor, Springer Berlin/Heidelberg
    • D. Wyatt, and L. Bull A memetic learning classifier system for describing continuous-valued problem spaces W. Hart, J. Smith, N. Krasnogor, Recent Advances in Memetic Algorithms 2005 Springer Berlin/Heidelberg 355 395
    • (2005) Recent Advances in Memetic Algorithms , pp. 355-395
    • Wyatt, D.1    Bull, L.2
  • 36
    • 78049316273 scopus 로고    scopus 로고
    • Ensemble of niching algorithms
    • E. Yu, and P. Suganthan Ensemble of niching algorithms Information Sciences 180 15 2010 2815 2833
    • (2010) Information Sciences , vol.180 , Issue.15 , pp. 2815-2833
    • Yu, E.1    Suganthan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.