메뉴 건너뛰기




Volumn 37, Issue 11, 2010, Pages 1939-1951

Estimation-based metaheuristics for the probabilistic traveling salesman problem

Author keywords

Empirical estimation; Metaheuristics; Probabilistic traveling salesman problem

Indexed keywords

CENTRAL PROBLEMS; EXPERIMENTAL STUDIES; ITERATED LOCAL SEARCH; LOCAL SEARCH ALGORITHM; MEMETIC ALGORITHMS; META HEURISTIC ALGORITHM; META HEURISTICS; PROBABILISTIC TRAVELING SALESMAN PROBLEM;

EID: 77951263646     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2009.12.005     Document Type: Article
Times cited : (30)

References (49)
  • 2
    • 0024107816 scopus 로고
    • A priori solution of a travelling salesman problem in which a random subset of the customers are visited
    • Jaillet P. A priori solution of a travelling salesman problem in which a random subset of the customers are visited. Operations Research 36 6 (1988) 929-936
    • (1988) Operations Research , vol.36 , Issue.6 , pp. 929-936
    • Jaillet, P.1
  • 4
    • 61349123657 scopus 로고    scopus 로고
    • Estimation-based local search for stochastic combinatorial optimization using delta evaluations: a case study in the probabilistic traveling salesman problem
    • Birattari M., Balaprakash P., Stützle T., and Dorigo M. Estimation-based local search for stochastic combinatorial optimization using delta evaluations: a case study in the probabilistic traveling salesman problem. INFORMS Journal on Computing 20 4 (2008) 644-658
    • (2008) INFORMS Journal on Computing , vol.20 , Issue.4 , pp. 644-658
    • Birattari, M.1    Balaprakash, P.2    Stützle, T.3    Dorigo, M.4
  • 5
    • 65749084339 scopus 로고    scopus 로고
    • Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem
    • Balaprakash P., Birattari M., Stützle T., and Dorigo M. Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem. European Journal of Operational Research 199 1 (2009) 98-110
    • (2009) European Journal of Operational Research , vol.199 , Issue.1 , pp. 98-110
    • Balaprakash, P.1    Birattari, M.2    Stützle, T.3    Dorigo, M.4
  • 7
    • 67650104325 scopus 로고    scopus 로고
    • Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem
    • Balaprakash P., Birattari M., Stützle T., Yuan Z., and Dorigo M. Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem. Swarm Intelligence 3 3 (2009) 223-242
    • (2009) Swarm Intelligence , vol.3 , Issue.3 , pp. 223-242
    • Balaprakash, P.1    Birattari, M.2    Stützle, T.3    Yuan, Z.4    Dorigo, M.5
  • 9
    • 0009015060 scopus 로고
    • On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms
    • Caltech Concurrent Computation Program;
    • Moscato P. On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms. C3P Report 826, Caltech Concurrent Computation Program; 1989.
    • (1989) C3P Report , vol.826
    • Moscato, P.1
  • 10
    • 0002345223 scopus 로고    scopus 로고
    • Memetic algorithms: a short introduction
    • Corne D., Dorigo M., and Glover F. (Eds), McGraw-Hill, London, UK
    • Moscato P. Memetic algorithms: a short introduction. In: Corne D., Dorigo M., and Glover F. (Eds). New ideas in optimization (1999), McGraw-Hill, London, UK 219-234
    • (1999) New ideas in optimization , pp. 219-234
    • Moscato, P.1
  • 12
    • 0036013019 scopus 로고    scopus 로고
    • The sample average approximation method for stochastic discrete optimization
    • Kleywegt A.J., Shapiro A., and Homem-de-Mello T. The sample average approximation method for stochastic discrete optimization. SIAM Journal on Optimization 12 2 (2002) 479-502
    • (2002) SIAM Journal on Optimization , vol.12 , Issue.2 , pp. 479-502
    • Kleywegt, A.J.1    Shapiro, A.2    Homem-de-Mello, T.3
  • 13
    • 0000967180 scopus 로고
    • A priori optimization of the probabilistic traveling salesman problem
    • Laporte G., Louveaux F., and Mercure H. A priori optimization of the probabilistic traveling salesman problem. Operations Research 42 (1994) 543-549
    • (1994) Operations Research , vol.42 , pp. 543-549
    • Laporte, G.1    Louveaux, F.2    Mercure, H.3
  • 14
    • 84974719224 scopus 로고    scopus 로고
    • Solving the homogeneous probabilistic travelling salesman problem by the ACO metaheuristic
    • Dorigo M., Di Caro G., and Sampels M. (Eds), Springer, Berlin, Germany
    • Bianchi L., Gambardella L., and Dorigo M. Solving the homogeneous probabilistic travelling salesman problem by the ACO metaheuristic. In: Dorigo M., Di Caro G., and Sampels M. (Eds). Ant algorithms, third international workshop, ANTS 2002. Lecture notes in computer science vol. 2463 (2002), Springer, Berlin, Germany 176-187
    • (2002) Ant algorithms, third international workshop, ANTS 2002. Lecture notes in computer science , vol.2463 , pp. 176-187
    • Bianchi, L.1    Gambardella, L.2    Dorigo, M.3
  • 15
    • 84944328534 scopus 로고    scopus 로고
    • An ant colony optimization approach to the probabilistic traveling salesman problem
    • Guervós J.J., Adamidis P., Beyer H., Martín J.L., and Schwefel H.-P. (Eds), Springer, Berlin, Germany
    • Bianchi L., Gambardella L.M., and Dorigo M. An ant colony optimization approach to the probabilistic traveling salesman problem. In: Guervós J.J., Adamidis P., Beyer H., Martín J.L., and Schwefel H.-P. (Eds). 7th international conference on parallel problem solving from nature, PPSN VII, Lecture notes in computer science vol. 2439 (2002), Springer, Berlin, Germany 883-892
    • (2002) 7th international conference on parallel problem solving from nature, PPSN VII, Lecture notes in computer science , vol.2439 , pp. 883-892
    • Bianchi, L.1    Gambardella, L.M.2    Dorigo, M.3
  • 16
    • 0031122887 scopus 로고    scopus 로고
    • Ant colony system: a cooperative learning approach to the traveling salesman problem
    • Dorigo M., and Gambardella L.M. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1 1 (1997) 53-66
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , Issue.1 , pp. 53-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 17
    • 35248840024 scopus 로고    scopus 로고
    • New ideas for applying ant colony optimization to the probabilistic TSP
    • Raidl G., Cagnoni S., Cardalda J., Corne D., Gottlieb J., Guillot A., Hart E., Johnson C., Marchiori E., Meyer J.-A., and Middendorf M. (Eds), Springer, Berlin, Germany
    • Branke J., and Guntsch M. New ideas for applying ant colony optimization to the probabilistic TSP. In: Raidl G., Cagnoni S., Cardalda J., Corne D., Gottlieb J., Guillot A., Hart E., Johnson C., Marchiori E., Meyer J.-A., and Middendorf M. (Eds). Applications of evolutionary computing. Lecture notes in computer science vol. 2611 (2003), Springer, Berlin, Germany 127-134
    • (2003) Applications of evolutionary computing. Lecture notes in computer science , vol.2611 , pp. 127-134
    • Branke, J.1    Guntsch, M.2
  • 19
    • 33847650472 scopus 로고    scopus 로고
    • A hybrid scatter search for the probabilistic traveling salesman problem
    • Liu Y. A hybrid scatter search for the probabilistic traveling salesman problem. Computers & Operations Research 34 10 (2007) 2949-2963
    • (2007) Computers & Operations Research , vol.34 , Issue.10 , pp. 2949-2963
    • Liu, Y.1
  • 20
    • 43849090006 scopus 로고    scopus 로고
    • Diversified local search strategy under scatter search framework for the probabilistic traveling salesman problem
    • Liu Y. Diversified local search strategy under scatter search framework for the probabilistic traveling salesman problem. European Journal of Operational Research 191 2 (2008) 332-346
    • (2008) European Journal of Operational Research , vol.191 , Issue.2 , pp. 332-346
    • Liu, Y.1
  • 22
    • 77951282778 scopus 로고    scopus 로고
    • Bianchi L, Gambardella LM. Ant colony optimization and local search based on exact and estimated objective values for the probabilistic traveling salesman problem. Technical Report IDSIA-06-07, IDSIA, USI-SUPSI, Manno, Switzerland; June 2007.
    • Bianchi L, Gambardella LM. Ant colony optimization and local search based on exact and estimated objective values for the probabilistic traveling salesman problem. Technical Report IDSIA-06-07, IDSIA, USI-SUPSI, Manno, Switzerland; June 2007.
  • 23
    • 70349299946 scopus 로고    scopus 로고
    • A hybrid multi-swarm particle swarm optimization algorithm for the probabilistic traveling salesman problem
    • Marinakis Y., and Marinaki M. A hybrid multi-swarm particle swarm optimization algorithm for the probabilistic traveling salesman problem. Computers & Operations Research 37 3 (2010) 432-442
    • (2010) Computers & Operations Research , vol.37 , Issue.3 , pp. 432-442
    • Marinakis, Y.1    Marinaki, M.2
  • 24
    • 43249129176 scopus 로고    scopus 로고
    • Expanding neighborhood search-GRASP for the probabilistic traveling salesman problem
    • Marinakis Y., Migdalas A., and Pardalos P. Expanding neighborhood search-GRASP for the probabilistic traveling salesman problem. Optimization Letters 2 3 (2008) 351-361
    • (2008) Optimization Letters , vol.2 , Issue.3 , pp. 351-361
    • Marinakis, Y.1    Migdalas, A.2    Pardalos, P.3
  • 25
    • 33746284234 scopus 로고    scopus 로고
    • Towards a theory of practice in metaheuristics design: a machine learning perspective
    • Birattari M., Zlochin M., and Dorigo M. Towards a theory of practice in metaheuristics design: a machine learning perspective. Theoretical Informatics and Applications 40 2 (2006) 353-369
    • (2006) Theoretical Informatics and Applications , vol.40 , Issue.2 , pp. 353-369
    • Birattari, M.1    Zlochin, M.2    Dorigo, M.3
  • 26
    • 67650169663 scopus 로고    scopus 로고
    • Tuning metaheuristics: a machine learning perspective
    • Springer, Berlin, Germany
    • Birattari M. Tuning metaheuristics: a machine learning perspective. Studies in computational intelligence vol. 197 (2009), Springer, Berlin, Germany
    • (2009) Studies in computational intelligence , vol.197
    • Birattari, M.1
  • 27
    • 35248846073 scopus 로고    scopus 로고
    • A converging ACO algorithm for stochastic combinatorial optimization
    • Albrecht A., and Steinhofl K. (Eds), Springer, Berlin, Germany
    • Gutjahr W.J. A converging ACO algorithm for stochastic combinatorial optimization. In: Albrecht A., and Steinhofl K. (Eds). Stochastic algorithms: foundations and applications. Lecture notes in computer science vol. 2827 (2003), Springer, Berlin, Germany 10-25
    • (2003) Stochastic algorithms: foundations and applications. Lecture notes in computer science , vol.2827 , pp. 10-25
    • Gutjahr, W.J.1
  • 28
    • 77049108477 scopus 로고    scopus 로고
    • S-ACO: an ant based approach to combinatorial optimization under uncertainity
    • Dorigo M., Birattari M., Blum C., Gambardella L.M., Mondada F., and Stützle T. (Eds), Springer, Berlin, Germany
    • Gutjahr W.J. S-ACO: an ant based approach to combinatorial optimization under uncertainity. In: Dorigo M., Birattari M., Blum C., Gambardella L.M., Mondada F., and Stützle T. (Eds). Ant colony optimization and swarm intelligence, 5th international workshop, ANTS 2004. Lecture notes in computer science vol. 3172 (2004), Springer, Berlin, Germany 238-249
    • (2004) Ant colony optimization and swarm intelligence, 5th international workshop, ANTS 2004. Lecture notes in computer science , vol.3172 , pp. 238-249
    • Gutjahr, W.J.1
  • 29
    • 77951285602 scopus 로고    scopus 로고
    • Birattari M, Balaprakash P, Dorigo M. ACO/F-Race: ant colony optimization and racing techniques for combinatorial optimization under uncertainty. In: Doerner KF, Gendreau M, Greistorfer P, Gutjahr WJ, Hartl RF, Reimann M, editors. Proceedings of the 6th metaheuristics international conference, MIC 2005, 2005. p. 107-12.
    • Birattari M, Balaprakash P, Dorigo M. ACO/F-Race: ant colony optimization and racing techniques for combinatorial optimization under uncertainty. In: Doerner KF, Gendreau M, Greistorfer P, Gutjahr WJ, Hartl RF, Reimann M, editors. Proceedings of the 6th metaheuristics international conference, MIC 2005, 2005. p. 107-12.
  • 31
    • 0242663428 scopus 로고    scopus 로고
    • Characterization of the probabilistic traveling salesman problem
    • Bowler N.E., Fink T.M.A., and Ball R.C. Characterization of the probabilistic traveling salesman problem. Physical Review E 68 3 (2003) 036703-036710
    • (2003) Physical Review E , vol.68 , Issue.3 , pp. 036703-036710
    • Bowler, N.E.1    Fink, T.M.A.2    Ball, R.C.3
  • 32
    • 0026923887 scopus 로고
    • Fast algorithms for geometric traveling salesman problems
    • Bentley J.L. Fast algorithms for geometric traveling salesman problems. ORSA Journal on Computing 4 4 (1992) 387-411
    • (1992) ORSA Journal on Computing , vol.4 , Issue.4 , pp. 387-411
    • Bentley, J.L.1
  • 34
    • 0001193147 scopus 로고    scopus 로고
    • The travelling salesman problem: a case study in local optimization
    • Aarts E.H.L., and Lenstra J.K. (Eds), Wiley, Chichester, UK
    • Johnson D.S., and McGeoch L.A. The travelling salesman problem: a case study in local optimization. In: Aarts E.H.L., and Lenstra J.K. (Eds). Local search in combinatorial optimization (1997), Wiley, Chichester, UK 215-310
    • (1997) Local search in combinatorial optimization , pp. 215-310
    • Johnson, D.S.1    McGeoch, L.A.2
  • 36
    • 0002196917 scopus 로고
    • Comparing individual means in the analysis of variance
    • Tukey J.W. Comparing individual means in the analysis of variance. Biometrics 5 2 (1949) 99-114
    • (1949) Biometrics , vol.5 , Issue.2 , pp. 99-114
    • Tukey, J.W.1
  • 37
    • 8344231581 scopus 로고    scopus 로고
    • Local search for the probabilistic traveling salesman problem: correction to the 2-p-opt and 1-shift algorithms
    • Bianchi L., Knowles J., and Bowler N. Local search for the probabilistic traveling salesman problem: correction to the 2-p-opt and 1-shift algorithms. European Journal of Operational Research 162 1 (2005) 206-219
    • (2005) European Journal of Operational Research , vol.162 , Issue.1 , pp. 206-219
    • Bianchi, L.1    Knowles, J.2    Bowler, N.3
  • 38
    • 33748974202 scopus 로고    scopus 로고
    • Extension of the 2-p-opt and 1-shift algorithms to the heterogeneous probabilistic traveling salesman problem
    • Bianchi L., and Campbell A. Extension of the 2-p-opt and 1-shift algorithms to the heterogeneous probabilistic traveling salesman problem. European Journal of Operational Research 176 1 (2007) 131-144
    • (2007) European Journal of Operational Research , vol.176 , Issue.1 , pp. 131-144
    • Bianchi, L.1    Campbell, A.2
  • 39
    • 0344545502 scopus 로고    scopus 로고
    • Memetic algorithms for the traveling salesman problem
    • Merz P., and Freisleben B. Memetic algorithms for the traveling salesman problem. Complex Systems 13 4 (2001) 297-345
    • (2001) Complex Systems , vol.13 , Issue.4 , pp. 297-345
    • Merz, P.1    Freisleben, B.2
  • 40
    • 77951282439 scopus 로고    scopus 로고
    • Johnson DS, McGeoch LA, Rego C, Glover F. 8th DIMACS implementation challenge, 2001. URL 〈http://www.research.att.com/ dsj/chtsp/〉.
    • Johnson DS, McGeoch LA, Rego C, Glover F. 8th DIMACS implementation challenge, 2001. URL 〈http://www.research.att.com/ dsj/chtsp/〉.
  • 42
    • 0007822544 scopus 로고
    • A staged primal-dual algorithm for finding a minimum cost perfect two-matching in an undirected graph
    • Penky J.F., and Miller D.L. A staged primal-dual algorithm for finding a minimum cost perfect two-matching in an undirected graph. ORSA Journal on Computing 6 1 (1994) 68-81
    • (1994) ORSA Journal on Computing , vol.6 , Issue.1 , pp. 68-81
    • Penky, J.F.1    Miller, D.L.2
  • 43
    • 30744455299 scopus 로고    scopus 로고
    • Aggregation for the probabilistic traveling salesman problem
    • Campbell A.M. Aggregation for the probabilistic traveling salesman problem. Computers & Operations Research 33 9 (2006) 2703-2724
    • (2006) Computers & Operations Research , vol.33 , Issue.9 , pp. 2703-2724
    • Campbell, A.M.1
  • 45
    • 84881306547 scopus 로고    scopus 로고
    • Campbell AM, Thomas BW. Challenges and advances in a priori routing. In Golden B, Raghavan S, Wasil E, editors. The vehicle routing problem: latest advances and new challenges, Operations Research/Computer Science Interfaces, 43. SV, 2008. p. 123-42.
    • Campbell AM, Thomas BW. Challenges and advances in a priori routing. In Golden B, Raghavan S, Wasil E, editors. The vehicle routing problem: latest advances and new challenges, Operations Research/Computer Science Interfaces, vol. 43. SV, 2008. p. 123-42.
  • 46
    • 38148998723 scopus 로고    scopus 로고
    • Improvement strategies for the F-Race algorithm: sampling design and iterative refinement
    • Bartz-Beielstein T., Blesa M., Blum C., Naujoks B., Roli A., Rudolph G., and Sampels M. (Eds), Springer, Berlin, Germany
    • Balaprakash P., Birattari M., and Stützle T. Improvement strategies for the F-Race algorithm: sampling design and iterative refinement. In: Bartz-Beielstein T., Blesa M., Blum C., Naujoks B., Roli A., Rudolph G., and Sampels M. (Eds). Hybrid metaheuristics, HM 2007. Lecture notes in computer science vol. 4771 (2007), Springer, Berlin, Germany 113-127
    • (2007) Hybrid metaheuristics, HM 2007. Lecture notes in computer science , vol.4771 , pp. 113-127
    • Balaprakash, P.1    Birattari, M.2    Stützle, T.3
  • 48
    • 34547422405 scopus 로고    scopus 로고
    • MPFR: a multiple-precision binary floating-point library with correct rounding
    • URL 〈http://www.mpfr.org/〉
    • Fousse L., Hanrot G., Lefèvre V., Pélissier P., and Zimmermann P. MPFR: a multiple-precision binary floating-point library with correct rounding. ACM Transactions on Mathematical Software 33 2 (2007) 1-15. http://www.mpfr.org/ URL 〈http://www.mpfr.org/〉
    • (2007) ACM Transactions on Mathematical Software , vol.33 , Issue.2 , pp. 1-15
    • Fousse, L.1    Hanrot, G.2    Lefèvre, V.3    Pélissier, P.4    Zimmermann, P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.