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Volumn 412, Issue 17, 2011, Pages 1629-1644

Runtime analysis of the 1-ANT ant colony optimizer

Author keywords

Ant colony optimization; Runtime analysis; Theory

Indexed keywords

ACO ALGORITHMS; ANT COLONIES; ANT-COLONY OPTIMIZATION; OPTIMIZERS; RANDOMIZED SEARCH HEURISTICS; RUNTIME ANALYSIS; RUNTIME BEHAVIORS; RUNTIMES; THEORETICAL RESULT; THEORY; WORKING PRINCIPLES;

EID: 79952073506     PISSN: 03043975     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tcs.2010.12.030     Document Type: Article
Times cited : (37)

References (26)
  • 3
    • 35248874381 scopus 로고    scopus 로고
    • Evolutionary algorithms and the maximum matching problem
    • Annual Symposium on Theoretical Aspects of Computer Science, STACS
    • O. Giel, and I. Wegener Evolutionary algorithms and the maximum matching problem H. Alt, M. Habib, Annual Symposium on Theoretical Aspects of Computer Science, STACS Lecture Notes in Computer Science vol. 2607 2003 Springer 415 426
    • (2003) Lecture Notes in Computer Science , vol.2607 , pp. 415-426
    • Giel, O.1    Wegener, I.2
  • 4
    • 34248139794 scopus 로고    scopus 로고
    • Randomized local search, evolutionary algorithms, and the minimum spanning tree problem
    • DOI 10.1016/j.tcs.2006.11.002, PII S0304397506008589
    • F. Neumann, and I. Wegener Randomized local search, evolutionary algorithms, and the minimum spanning tree problem Theoretical Computer Science 378 2007 32 40 (Pubitemid 46711139)
    • (2007) Theoretical Computer Science , vol.378 , Issue.1 , pp. 32-40
    • Neumann, F.1    Wegener, I.2
  • 5
    • 24144442813 scopus 로고    scopus 로고
    • Worst-case and average-case approximations by simple randomized search heuristics
    • STACS 2005 - 22nd Annual Symposium on Theoretical Aspects of Computer Science, Proceedings
    • C. Witt Worst-case and average-case approximations by simple randomized search heuristics V. Diekert, B. Durand, Annual Symposium on Theoretical Aspects of Computer Science, STACS Lecture Notes in Computer Science vol. 3404 2005 Springer 44 56 (Pubitemid 41241235)
    • (2005) Lecture Notes in Computer Science , vol.3404 , pp. 44-56
    • Witt, C.1
  • 6
    • 38149052268 scopus 로고    scopus 로고
    • Speeding up evolutionary algorithms through asymmetric mutation operators
    • B. Doerr, N. Hebbinghaus, and F. Neumann Speeding up evolutionary algorithms through asymmetric mutation operators Evolutionary Computation 15 2007 401 410
    • (2007) Evolutionary Computation , vol.15 , pp. 401-410
    • Doerr, B.1    Hebbinghaus, N.2    Neumann, F.3
  • 7
    • 32444441240 scopus 로고    scopus 로고
    • Crossover is probably essential for the ising model on trees
    • DOI 10.1145/1068009.1068202, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • D. Sudholt Crossover is provably essential for the Ising model on trees Genetic and Evolutionary Computation Conference, GECCO 2005 ACM Press 1161 1167 (Pubitemid 43226428)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 1161-1167
    • Sudholt, D.1
  • 9
    • 1642573400 scopus 로고    scopus 로고
    • A generalized convergence result for the graph-based ant system metaheuristic
    • DOI 10.1017/S0269964803174086
    • W.J. Gutjahr A generalized convergence result for the graph-based ant system metaheuristic Probability in the Engineering and Informational Sciences 17 2003 545 569 (Pubitemid 38126171)
    • (2003) Probability in the Engineering and Informational Sciences , vol.17 , Issue.4 , pp. 545-569
    • Gutjahr, W.J.1
  • 10
    • 0036715610 scopus 로고    scopus 로고
    • Modelling the dynamics of Ant Colony Optimization algorithms
    • D. Merkle, and M. Middendorf Modelling the dynamics of Ant Colony Optimization algorithms Evolutionary Computation 10 2002 235 262
    • (2002) Evolutionary Computation , vol.10 , pp. 235-262
    • Merkle, D.1    Middendorf, M.2
  • 11
    • 27644543634 scopus 로고    scopus 로고
    • Ant colony optimization theory: A survey
    • DOI 10.1016/j.tcs.2005.05.020, PII S0304397505003798
    • M. Dorigo, and C. Blum Ant colony optimization theory: a survey Theoretical Computer Science 344 2005 243 278 (Pubitemid 41554100)
    • (2005) Theoretical Computer Science , vol.344 , Issue.2-3 , pp. 243-278
    • Dorigo, M.1    Blum, C.2
  • 12
    • 38749084585 scopus 로고    scopus 로고
    • First steps to the runtime complexity analysis of ant colony optimization
    • DOI 10.1016/j.cor.2006.12.017, PII S030505480600311X
    • W.J. Gutjahr First steps to the runtime complexity analysis of ant colony optimization Computers and Operations Research 35 2008 2711 2727 (Pubitemid 351186799)
    • (2008) Computers and Operations Research , vol.35 , Issue.9 , pp. 2711-2727
    • Gutjahr, W.J.1
  • 13
    • 67349211324 scopus 로고    scopus 로고
    • Runtime analysis of a simple ant colony optimization algorithm
    • F. Neumann, and C. Witt Runtime analysis of a simple ant colony optimization algorithm Algorithmica 54 2009 243 255
    • (2009) Algorithmica , vol.54 , pp. 243-255
    • Neumann, F.1    Witt, C.2
  • 14
    • 77951204111 scopus 로고    scopus 로고
    • Ant colony optimization and the minimum spanning tree problem
    • F. Neumann, and C. Witt Ant colony optimization and the minimum spanning tree problem Theoretical Computer Science 411 2010 2406 2413
    • (2010) Theoretical Computer Science , vol.411 , pp. 2406-2413
    • Neumann, F.1    Witt, C.2
  • 18
    • 36549010415 scopus 로고    scopus 로고
    • A running time analysis of an Ant Colony Optimization algorithm for shortest paths in directed acyclic graphs
    • DOI 10.1016/j.ipl.2007.08.013, PII S0020019007002190
    • N. Attiratanasunthron, and J. Fakcharoenphol A running time analysis of an ant colony optimization algorithm for shortest paths in directed acyclic graphs Information Processing Letters 105 2008 88 92 (Pubitemid 350192392)
    • (2008) Information Processing Letters , vol.105 , Issue.3 , pp. 88-92
    • Attiratanasunthron, N.1    Fakcharoenphol, J.2
  • 19
    • 56549113441 scopus 로고    scopus 로고
    • Refined runtime analysis of a basic ant colony optimization algorithm
    • IEEE Press
    • B. Doerr, and D. Johannsen Refined runtime analysis of a basic ant colony optimization algorithm Congress on Evolutionary Computation, CEC 2007 IEEE Press 501 507
    • (2007) Congress on Evolutionary Computation, CEC , pp. 501-507
    • Doerr, B.1    Johannsen, D.2
  • 20
    • 56549104223 scopus 로고    scopus 로고
    • How single ant ACO systems optimize pseudo-Boolean functions
    • Parallel Problem Solving from NaturePPSN X
    • B. Doerr, D. Johannsen, and C.H. Tang How single ant ACO systems optimize pseudo-Boolean functions G. Rudolph, T. Jansen, S.M. Lucas, C. Poloni, N. Beume, Parallel Problem Solving from NaturePPSN X Lecture Notes in Computer Science vol. 5199 2008 Springer 378 388
    • (2008) Lecture Notes in Computer Science , vol.5199 , pp. 378-388
    • Doerr, B.1    Johannsen, D.2    Tang, C.H.3
  • 21
    • 58349110894 scopus 로고    scopus 로고
    • Mathematical runtime analysis of ACO algorithms: Survey on an emerging issue
    • W.J. Gutjahr Mathematical runtime analysis of ACO algorithms: survey on an emerging issue Swarm Intelligence 1 2007 59 79
    • (2007) Swarm Intelligence , vol.1 , pp. 59-79
    • Gutjahr, W.J.1
  • 22
    • 77951204111 scopus 로고    scopus 로고
    • Ant colony optimization and the minimum spanning tree problem
    • F. Neumann, and C. Witt Ant colony optimization and the minimum spanning tree problem Theoretical Computer Science 411 2010 2406 2413
    • (2010) Theoretical Computer Science , vol.411 , pp. 2406-2413
    • Neumann, F.1    Witt, C.2
  • 23
    • 60149110378 scopus 로고    scopus 로고
    • Analysis of different MMAS ACO algorithms on unimodal functions and plateaus
    • F. Neumann, D. Sudholt, and C. Witt Analysis of different MMAS ACO algorithms on unimodal functions and plateaus Swarm Intelligence 3 2009 35 68
    • (2009) Swarm Intelligence , vol.3 , pp. 35-68
    • Neumann, F.1    Sudholt, D.2    Witt, C.3
  • 26
    • 27644579712 scopus 로고    scopus 로고
    • On the choice of the offspring population size in evolutionary algorithms
    • DOI 10.1162/106365605774666921
    • T. Jansen, K.A. De Jong, and I. Wegener On the choice of the offspring population size in evolutionary algorithms Evolutionary Computation 13 2005 413 440 (Pubitemid 43955277)
    • (2005) Evolutionary Computation , vol.13 , Issue.4 , pp. 413-440
    • Jansen, T.1    De Jong, K.A.2    Wegener, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.