메뉴 건너뛰기




Volumn 411, Issue 21, 2010, Pages 2084-2100

Runtime analysis of a binary particle swarm optimizer

Author keywords

Particle swarm optimization; Runtime analysis

Indexed keywords

BEST POSITION; BINARY PARTICLE SWARM; BINARY PSO; EXPERIMENTAL COMPARISON; LOWER BOUNDS; PROBABILISTIC PROCESS; PSEUDO-BOOLEAN FUNCTION; RUN-TIME ANALYSIS; RUNTIMES; TEST FUNCTIONS; UNIMODAL FUNCTIONS; UPPER BOUND; VELOCITY VECTORS;

EID: 77950595650     PISSN: 03043975     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tcs.2010.03.002     Document Type: Article
Times cited : (51)

References (29)
  • 1
    • 36549010415 scopus 로고    scopus 로고
    • A running time analysis of an ant colony optimization algorithm for shortest paths in directed acyclic graphs
    • Attiratanasunthron N., and Fakcharoenphol J. A running time analysis of an ant colony optimization algorithm for shortest paths in directed acyclic graphs. Information Processing Letters 105 3 (2008) 88-92
    • (2008) Information Processing Letters , vol.105 , Issue.3 , pp. 88-92
    • Attiratanasunthron, N.1    Fakcharoenphol, J.2
  • 4
    • 34548093546 scopus 로고    scopus 로고
    • On the runtime analysis of the 1-ANT ACO algorithm
    • ACM Press
    • Doerr B., Neumann F., Sudholt D., and Witt C. On the runtime analysis of the 1-ANT ACO algorithm. Proc. of GECCO'07 (2007), ACM Press 33-40
    • (2007) Proc. of GECCO'07 , pp. 33-40
    • Doerr, B.1    Neumann, F.2    Sudholt, D.3    Witt, C.4
  • 5
    • 33748112122 scopus 로고    scopus 로고
    • A rigorous analysis of the compact genetic algorithm for linear functions
    • Droste S. A rigorous analysis of the compact genetic algorithm for linear functions. Natural Computing 5 3 (2006) 257-283
    • (2006) Natural Computing , vol.5 , Issue.3 , pp. 257-283
    • Droste, S.1
  • 7
    • 35248874381 scopus 로고    scopus 로고
    • Evolutionary algorithms and the maximum matching problem
    • Proc. of STACS'03
    • Giel O., and Wegener I. Evolutionary algorithms and the maximum matching problem. Proc. of STACS'03. LNCS vol. 2607 (2003) 415-426
    • (2003) LNCS , vol.2607 , pp. 415-426
    • Giel, O.1    Wegener, I.2
  • 8
    • 38749084585 scopus 로고    scopus 로고
    • First steps to the runtime complexity analysis of ant colony optimization
    • Gutjahr W.J. First steps to the runtime complexity analysis of ant colony optimization. Computers and Operations Research 35 9 (2008) 2711-2727
    • (2008) Computers and Operations Research , vol.35 , Issue.9 , pp. 2711-2727
    • Gutjahr, W.J.1
  • 10
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • Hoeffding W. Probability inequalities for sums of bounded random variables. American Statistical Association Journal 58 301 (1963) 13-30
    • (1963) American Statistical Association Journal , vol.58 , Issue.301 , pp. 13-30
    • Hoeffding, W.1
  • 11
    • 70350475678 scopus 로고    scopus 로고
    • Running time analysis of ACO systems for shortest path problems
    • Proc. of SLS 2009
    • Horoba C., and Sudholt D. Running time analysis of ACO systems for shortest path problems. Proc. of SLS 2009. LNCS vol. 5752 (2009) 76-91
    • (2009) LNCS , vol.5752 , pp. 76-91
    • Horoba, C.1    Sudholt, D.2
  • 17
    • 60149110378 scopus 로고    scopus 로고
    • Analysis of different MMAS ACO algorithms on unimodal functions and plateaus
    • Neumann F., Sudholt D., and Witt C. Analysis of different MMAS ACO algorithms on unimodal functions and plateaus. Swarm Intelligence 3 1 (2009) 35-68
    • (2009) Swarm Intelligence , vol.3 , Issue.1 , pp. 35-68
    • Neumann, F.1    Sudholt, D.2    Witt, C.3
  • 18
    • 33748121602 scopus 로고    scopus 로고
    • Minimum spanning trees made easier via multi-objective optimization
    • Neumann F., and Wegener I. Minimum spanning trees made easier via multi-objective optimization. Natural Computing 5 3 (2006) 305-319
    • (2006) Natural Computing , vol.5 , Issue.3 , pp. 305-319
    • Neumann, F.1    Wegener, I.2
  • 19
    • 34248139794 scopus 로고    scopus 로고
    • Randomized local search, evolutionary algorithms, and the minimum spanning tree problem
    • Neumann F., and Wegener I. Randomized local search, evolutionary algorithms, and the minimum spanning tree problem. Theoretical Computer Science 378 1 (2007) 32-40
    • (2007) Theoretical Computer Science , vol.378 , Issue.1 , pp. 32-40
    • Neumann, F.1    Wegener, I.2
  • 20
    • 58349093918 scopus 로고    scopus 로고
    • Ant Colony Optimization and the minimum spanning tree problem
    • Proceedings of Learning and Intelligent Optimization, LION'07, Springer
    • Neumann F., and Witt C. Ant Colony Optimization and the minimum spanning tree problem. Proceedings of Learning and Intelligent Optimization, LION'07. LNCS vol. 5313 (2008), Springer 153-166
    • (2008) LNCS , vol.5313 , pp. 153-166
    • Neumann, F.1    Witt, C.2
  • 21
    • 67349211324 scopus 로고    scopus 로고
    • Runtime analysis of a simple Ant Colony Optimization algorithm
    • Neumann F., and Witt C. Runtime analysis of a simple Ant Colony Optimization algorithm. Algorithmica 54 2 (2009) 243-255
    • (2009) Algorithmica , vol.54 , Issue.2 , pp. 243-255
    • Neumann, F.1    Witt, C.2
  • 22
    • 34547427292 scopus 로고    scopus 로고
    • Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results
    • Oliveto P.S., He J., and Yao X. Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results. International Journal of Automation and Computing 4 3 (2007) 281-293
    • (2007) International Journal of Automation and Computing , vol.4 , Issue.3 , pp. 281-293
    • Oliveto, P.S.1    He, J.2    Yao, X.3
  • 23
    • 34548078427 scopus 로고    scopus 로고
    • Evolutionary algorithms and matroid optimization problems
    • ACM Press
    • Reichel J., and Skutella M. Evolutionary algorithms and matroid optimization problems. Proc. of GECCO'07 (2007), ACM Press 947-954
    • (2007) Proc. of GECCO'07 , pp. 947-954
    • Reichel, J.1    Skutella, M.2
  • 26
    • 0012701514 scopus 로고    scopus 로고
    • Methods for the analysis of evolutionary algorithms on pseudo-Boolean functions
    • Sarker R., Yao X., and Mohammadian M. (Eds), Kluwer
    • Wegener I. Methods for the analysis of evolutionary algorithms on pseudo-Boolean functions. In: Sarker R., Yao X., and Mohammadian M. (Eds). Evolutionary Optimization (2002), Kluwer 349-369
    • (2002) Evolutionary Optimization , pp. 349-369
    • Wegener, I.1
  • 27
    • 24144442813 scopus 로고    scopus 로고
    • Worst-case and average-case approximations by simple randomized search heuristics
    • Proc. of STACS~'05
    • Witt C. Worst-case and average-case approximations by simple randomized search heuristics. Proc. of STACS~'05. LNCS vol. 3404 (2005) 44-56
    • (2005) LNCS , vol.3404 , pp. 44-56
    • Witt, C.1
  • 28
    • 70349139937 scopus 로고    scopus 로고
    • Why standard particle swarm optimisers elude a theoretical runtime analysis
    • ACM Press
    • Witt C. Why standard particle swarm optimisers elude a theoretical runtime analysis. Foundations of Genetic Algorithms 10, FOGA'09 (2009), ACM Press 13-20
    • (2009) Foundations of Genetic Algorithms 10, FOGA'09 , pp. 13-20
    • Witt, C.1
  • 29
    • 77955870840 scopus 로고    scopus 로고
    • Ant colony optimization for stochastic shortest path problems
    • in press
    • Christian Horoba, Dirk Sudholt, Ant colony optimization for stochastic shortest path problems, in: Proc. of GECCO'10, 2010 (in press).
    • Proc. of GECCO'10 , vol.2010
    • Horoba, C.1    Sudholt, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.