메뉴 건너뛰기




Volumn 29, Issue 8, 2014, Pages 1483-1488

Improved genetic algorithm for solving TSP

Author keywords

Adaptive adjustment; Genetic algorithm; Greedy method; Traveling salesman problem

Indexed keywords

GENETIC ALGORITHMS; STRUCTURAL OPTIMIZATION; TRAVELING SALESMAN PROBLEM;

EID: 84906954499     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: 10.13195/j.kzyjc.2013.0598     Document Type: Article
Times cited : (59)

References (16)
  • 1
    • 33646345150 scopus 로고    scopus 로고
    • Reviews of the meta-heuristic algorithm for TSP
    • Gao H C, Feng B Q, Zhu L. Reviews of the meta-heuristic algorithm for TSP[J]. Control and Decision, 2006, 21(3): 241-247.
    • (2006) Control and Decision , vol.21 , Issue.3 , pp. 241-247
    • Gao, H.C.1    Feng, B.Q.2    Zhu, L.3
  • 2
    • 67650082679 scopus 로고    scopus 로고
    • A fast ant colony optimization algorithm for traveling salesman problems
    • Ji J Z, Huang Z, Liu C N. A fast ant colony optimization algorithm for traveling salesman problems[J]. J of Computer Research and Development, 2009, 46(6): 968-978.
    • (2009) , vol.46 , Issue.6 , pp. 968-978
    • Ji, J.Z.1    Huang, Z.2    Liu, C.N.3
  • 3
    • 77953797154 scopus 로고    scopus 로고
    • Using combination of ant algorithm and immune algorithm to solve TSP
    • Liu Z H, Zhang Y J, Zhang J, et al. Using combination of ant algorithm and immune algorithm to solve TSP[J]. Control and Decision, 2010, 25(5): 695-700.
    • (2010) Control and Decision , vol.25 , Issue.5 , pp. 695-700
    • Liu, Z.H.1    Zhang, Y.J.2    Zhang, J.3
  • 4
    • 70349299946 scopus 로고    scopus 로고
    • A hybrid multiswarm particle swarm optimization algorithm for the probabilistic traveling salesman problem
    • Yannis Marinakis, Magdalene Marinaki. A hybrid multiswarm particle swarm optimization algorithm for the probabilistic traveling salesman problem[J]. Computers and Operations Research, 2010, 37(3): 432-442.
    • (2010) Computers and Operations Research , vol.37 , Issue.3 , pp. 432-442
    • Marinakis, Y.1    Marinaki, M.2
  • 5
    • 78149239292 scopus 로고    scopus 로고
    • A hybrid genetic algorithm for the traveling salesman problem using generalized partition crossover
    • Berlin: Springer Heidelberg
    • Darrell Whitley, Doug Hains, Adele Howe. A hybrid genetic algorithm for the traveling salesman problem using generalized partition crossover[C]. Proc of the 11th Int Conf on Parallel Problem Solving from Nature. Berlin: Springer Heidelberg, 2010, 6283: 566-575.
    • (2010) , vol.6283 , pp. 566-575
    • Whitley, D.1    Hains, D.2    Howe, A.3
  • 6
    • 79960668794 scopus 로고    scopus 로고
    • Genetic algorithm for the traveling salesman problem using sequential constructive crossover operator
    • Zakir H Ahmed. Genetic algorithm for the traveling salesman problem using sequential constructive crossover operator[J]. Int J of Biometrics and Bioinformatics, 2010, 3(6): 96-105.
    • (2010) , vol.3 , Issue.6 , pp. 96-105
    • Ahmed, Z.H.1
  • 7
    • 78049529209 scopus 로고    scopus 로고
    • Development a new mutation operator to solve the traveling salesman problem by aid of genetic algorithms
    • Murat Albayrak, Novruz Allahverdi. Development a new mutation operator to solve the traveling salesman problem by aid of genetic algorithms[J]. Expert Systems with Applications, 2011, 38(3): 1313-1320.
    • (2011) Expert Systems with Applications , vol.38 , Issue.3 , pp. 1313-1320
    • Albayrak, M.1    Allahverdi, N.2
  • 8
    • 84906956484 scopus 로고    scopus 로고
    • Traveling saleman problem
    • (2014-3-17)
    • Baidu Baike. Traveling saleman problem[EB/OL]. (2014-3-17). http://baike.baidu.com/view/1162183.htm.
    • (2014)
  • 9
    • 0029341825 scopus 로고
    • Hybrid Newton-Raphson genetic algorithm for the travelling salesman problem
    • Lin W, Delgadofiras Y G, Gause D C, et al. Hybrid Newton-Raphson genetic algorithm for the travelling salesman problem[J]. Cybernetics and Systems, 1995, 26(4): 387-412.
    • (1995) Cybernetics and Systems , vol.26 , Issue.4 , pp. 387-412
    • Lin, W.1    Delgadofiras, Y.G.2    Gause, D.C.3
  • 10
    • 33344477538 scopus 로고    scopus 로고
    • Improved adaptive genetic algorithm and its application research in parameter identification
    • Ren ZW, San Y. Improved adaptive genetic algorithm and its application research in parameter identification[J]. J of System Simulation, 2006, 18(1): 41-43.
    • (2006) , vol.18 , Issue.1 , pp. 41-43
    • Ren, Z.W.1    San, Y.2
  • 11
    • 1342307648 scopus 로고    scopus 로고
    • Research on fast selfadaptive genetic algorithm and its simulation
    • Mu A H, Zhou S L, Yu X L. Research on fast selfadaptive genetic algorithm and its simulation[J]. J of System Simulation, 2004, 10(1): 122-125.
    • (2004) , vol.10 , Issue.1 , pp. 122-125
    • Mu, A.H.1    Zhou, S.L.2    Yu, X.L.3
  • 12
    • 84906955269 scopus 로고    scopus 로고
    • Research and improvement on genetic algorithm for solving TSP
    • Shenyang: College of Information Science and Engineering, Northeastern University
    • Deng X X. Research and improvement on genetic algorithm for solving TSP[D]. Shenyang: College of Information Science and Engineering, Northeastern University, 2008.
    • (2008)
    • Deng, X.X.1
  • 13
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • Srinivas M, Patnail K L M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Trans on System, Man and Cybernetics, 1994, 24(4): 656-667.
    • (1994) , vol.24 , Issue.4 , pp. 656-667
    • Srinivas, M.1    Patnail, K.L.M.2
  • 14
    • 84906954207 scopus 로고    scopus 로고
    • Improvement of adaptive genetic algorithms and application in line simplification
    • Ren H Y, Chen F X. Improvement of adaptive genetic algorithms and application in line simplification[J]. Computer Engineering and Application, 2012, 48(11): 152-155.
    • (2012) Computer Engineering and Application , vol.48 , Issue.11 , pp. 152-155
    • Ren, H.Y.1    Chen, F.X.2
  • 15
    • 84906955510 scopus 로고    scopus 로고
    • An improved adaptive genetic algorithm based on evolutionary stages
    • Xiang Z Y, Liu Z C, Shen P A. An improved adaptive genetic algorithm based on evolutionary stages[J]. J of Wuhan University: Engineering, 2008, 41(1): 133-136.
    • (2008) , vol.41 , Issue.1 , pp. 133-136
    • Xiang, Z.Y.1    Liu, Z.C.2    Shen, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.