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Volumn 27, Issue 5, 2012, Pages 937-949

A Puzzle-Based Genetic Algorithm with block mining and recombination heuristic for the traveling salesman problem

Author keywords

Artificial chromosome; Block recombination; Blocks mining; Traveling salesman problem

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); ARTIFICIAL CHROMOSOMES; BLOCK RECOMBINATION; EARLY CONVERGENCE; GENERALIZED TRAVELING SALESMAN PROBLEM; HEURISTIC APPROACH; OPTIMALITY; SEARCH SPACES; SECOND PHASE; STANDARD GENETIC ALGORITHM;

EID: 84870932180     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-012-1275-3     Document Type: Article
Times cited : (8)

References (48)
  • 6
    • 0026874435 scopus 로고
    • The vehicle routing problem: An overview of exact and approximate algorithms
    • Laporte G. The vehicle routing problem: An overview of exact and approximate algorithms. European Journal of Operational Research, 1992, 59(3): 345-358.
    • (1992) European Journal of Operational Research , vol.59 , Issue.3 , pp. 345-358
    • Laporte, G.1
  • 7
    • 1342287329 scopus 로고    scopus 로고
    • Optimal path for automated drilling operations by a new heuristic approach using particle swarm optimization
    • Onwubolu G C, Clerc M. Optimal path for automated drilling operations by a new heuristic approach using particle swarm optimization. International Journal of Production Research, 2004, 42 (3): 473-491.
    • (2004) International Journal of Production Research , vol.42 , Issue.3 , pp. 473-491
    • Onwubolu, G.C.1    Clerc, M.2
  • 8
    • 0242308131 scopus 로고    scopus 로고
    • A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms
    • Computer Aided Systems Theory - EUROCAST 2003
    • Affenzeller M, Wanger S. A self-adaptive model for selective pressure handling within the theory of genetic algorithms. In Proc. The 9th EUROCAST, February 2003, pp.384-393. (Pubitemid 37342476)
    • (2003) Lecture Notes In Computer Science , Issue.2809 , pp. 384-393
    • Affenzeller, M.1    Wagner, S.2
  • 9
    • 0030584162 scopus 로고    scopus 로고
    • A Self-Organizing Neural Network for the Traveling Salesman Problem That Is Competitive with Simulated Annealing
    • Budinich M. A self-organizing neural network for the traveling salesman problem that is competitive with simulated annealing. Neural Computation, 1996, 8(2): 416-424. (Pubitemid 126449936)
    • (1996) Neural Computation , vol.8 , Issue.2 , pp. 416-424
    • Budinich, M.1
  • 11
    • 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, 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, 2005, 162(1): 206-219.
    • (2005) European Journal of Operational Research , vol.162 , Issue.1 , pp. 206-219
    • Bianchi, L.1    Knowles, J.2    Bowler, N.3
  • 12
    • 9544240357 scopus 로고    scopus 로고
    • Ant colony system with communication strategies
    • Chu S C, Roddick J F, Pan J S. Ant colony system with communication strategies. Information Sciences, 2004, 167 (1-4): 63-76.
    • (2004) Information Sciences , vol.167 , Issue.1-4 , pp. 63-76
    • Chu, S.C.1    Roddick, J.F.2    Pan, J.S.3
  • 13
    • 8644248210 scopus 로고    scopus 로고
    • An expanding self-organizing neural network for the traveling salesman problem
    • Leung K S, Jin H D, Xu Z B. An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing, 2004, 62: 267-292.
    • (2004) Neurocomputing , vol.62 , pp. 267-292
    • Leung, K.S.1    Jin, H.D.2    Xu, Z.B.3
  • 14
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick S, Gelatt Jr. C D, Vecchi M P. Optimization by simulated annealing. Science, 1983, 220(4598): 671-680.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt Jr., C.D.2    Vecchi, M.P.3
  • 16
    • 85015307341 scopus 로고    scopus 로고
    • On solving traveling salesman problems by genetic algorithm
    • Schwefel H P, Männer R (eds.), Springer-Verlag
    • Braun H. On solving traveling salesman problems by genetic algorithm. In Lecture Notes in Computer Science 496, Schwefel H P, Männer R (eds.), Springer-Verlag, pp.129-133.
    • Lecture Notes in Computer Science , vol.496 , pp. 129-133
    • Braun, H.1
  • 18
    • 0032115227 scopus 로고    scopus 로고
    • An overview of data mining and knowledge discovery
    • Fan J, Li D. An overview of data mining and knowledge discovery. Journal of Computer Science and Technology, 1998, 13(4): 348-368.
    • (1998) Journal of Computer Science and Technology , vol.13 , Issue.4 , pp. 348-368
    • Fan, J.1    Li, D.2
  • 19
    • 0002595027 scopus 로고
    • A memetic approach for the traveling salesman problem implementation of a computational ecology for combinatorial optimization on message-passing systems
    • Sept.
    • Moscato P, Norman M G. A memetic approach for the traveling salesman problem implementation of a computational ecology for combinatorial optimization on message-passing systems. In Proc. International Conference on Parallel Computing and Transputer Application, Sept. 1992, pp.177-186.
    • (1992) Proc. International Conference on Parallel Computing and Transputer Application , pp. 177-186
    • Moscato, P.1    Norman, M.G.2
  • 24
    • 38049003495 scopus 로고    scopus 로고
    • Inver-over Operator for the TSP
    • Parallel Problems Solving from Nature - PPSN V
    • Tao G, Michalewicz Z. Inver-over operator for the TSP. In Proc. The 5th Int. Conf. Parallel Problem Solving from Nature, September 1998, pp.803-812. (Pubitemid 128146010)
    • (1998) Lecture Notes In Computer Science , Issue.1498 , pp. 803-812
    • Tao, G.1    Michalewicz, Z.2
  • 25
    • 0001193147 scopus 로고    scopus 로고
    • The traveling salesman problem: A case study in local optimization
    • Aarts E, Lenstra J K (eds.), John Wiley and Sons, Ltd.
    • Johnson D S, McGeoch L A. The traveling salesman problem: A case study in local optimization. In Local Search in Combinatorial Optimization, Aarts E, Lenstra J K (eds.), John Wiley and Sons, Ltd., 1997, pp.215-310.
    • (1997) Local Search in Combinatorial Optimization , pp. 215-310
    • Johnson, D.S.1    McGeoch, L.A.2
  • 26
    • 12744278280 scopus 로고    scopus 로고
    • New meta-heuristic for combinatorial optimization problems: Intersection based scaling
    • Zou P, Zhou Z, Wan Y Y, Chen G L, Gu J. New meta-heuristic for combinatorial optimization problems: Intersection based scaling. Journal of Computer Science and Technology, 2004, 19(6): 740-751. (Pubitemid 40156613)
    • (2004) Journal of Computer Science and Technology , vol.19 , Issue.6 , pp. 740-751
    • Zou, P.1    Zhou, Z.2    Wan, Y.-Y.3    Chen, G.-L.4    Gu, J.5
  • 27
    • 4344623134 scopus 로고    scopus 로고
    • A comparison of memetic recombination operators for the traveling salesman problem
    • July
    • Merz P. A comparison of memetic recombination operators for the traveling salesman problem. In Proc. The Genetic and Evolutionary Computation Conference, July 2002, pp.472-479.
    • (2002) Proc. The Genetic and Evolutionary Computation Conference , pp. 472-479
    • Merz, P.1
  • 28
    • 0035696799 scopus 로고    scopus 로고
    • A hybrid heuristic for the traveling salesman problem
    • DOI 10.1109/4235.974843, PII S1089778X01034658
    • Baraglia R, Hidalgo J I, Perego R. A hybrid heuristic for the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 2001, 5(6): 613-622. (Pubitemid 34091919)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.6 , pp. 613-622
    • Baraglia, R.1    Hidalgo, J.I.2    Perego, R.3
  • 29
    • 25844460167 scopus 로고    scopus 로고
    • Some issues of designing genetic algorithms for traveling salesman problems
    • Tsai H K, Yang J M, Tsai Y F, Kao C Y. Some issues of designing genetic algorithms for traveling salesman problems. Soft Computing, 2004, 8(10): 689-697.
    • (2004) Soft Computing , vol.8 , Issue.10 , pp. 689-697
    • Tsai, H.K.1    Yang, J.M.2    Tsai, Y.F.3    Kao, C.Y.4
  • 30
    • 0000904077 scopus 로고
    • Messy genetic algorithms: Motivation, analysis, and first results
    • Goldberg D E, Korb B, Deb K. Messy genetic algorithms: Motivation, analysis, and first results. Complex Syst., 1989, 3(5): 493-530.
    • (1989) Complex Syst. , vol.3 , Issue.5 , pp. 493-530
    • Goldberg, D.E.1    Korb, B.2    Deb, K.3
  • 32
    • 7744238595 scopus 로고    scopus 로고
    • OMEGA-ordering messy GA: Solving permutation problems with the fast messy genetic algorithm and random keys
    • July
    • Kujazew D, Golberg D E. OMEGA-ordering messy GA: Solving permutation problems with the fast messy genetic algorithm and random keys. In Proc. Genetic Evolutionary Computation Conf., July 2000, pp.181-188.
    • (2000) Proc. Genetic Evolutionary Computation Conf. , pp. 181-188
    • Kujazew, D.1    Golberg, D.E.2
  • 33
    • 7744229122 scopus 로고    scopus 로고
    • The preservation of favored building blocks in the struggle for fitness: The Puzzle Algorithm
    • Zaritsky A, Sipper M. The preservation of favored building blocks in the struggle for fitness: The Puzzle Algorithm. IEEE Transactions on Evolutionary Computation, 2004, 8(5): 443-455.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.5 , pp. 443-455
    • Zaritsky, A.1    Sipper, M.2
  • 34
    • 34548482951 scopus 로고    scopus 로고
    • Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems
    • Chang P C, Chen S H, Fan C Y. Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems. Applied Soft Computing, 2008, 8(1): 767-777.
    • (2008) Applied Soft Computing , vol.8 , Issue.1 , pp. 767-777
    • Chang, P.C.1    Chen, S.H.2    Fan, C.Y.3
  • 35
    • 54249084894 scopus 로고    scopus 로고
    • Genetic algorithm with artificial chromosomes for multi-objective flow shop scheduling problems
    • Chang P C, Chen S H, Fan C Y, Chan C L. Genetic algorithm with artificial chromosomes for multi-objective flow shop scheduling problems. Applied Mathematics and Computation, 2008, 205(2): 550-561.
    • (2008) Applied Mathematics and Computation , vol.205 , Issue.2 , pp. 550-561
    • Chang, P.C.1    Chen, S.H.2    Fan, C.Y.3    Chan, C.L.4
  • 36
    • 77958482967 scopus 로고    scopus 로고
    • Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems
    • Chang P C, Chen S H, Fan C Y, Mani V. Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems. Annals of Operations Research, 2010, 180(1): 197-211.
    • (2010) Annals of Operations Research , vol.180 , Issue.1 , pp. 197-211
    • Chang, P.C.1    Chen, S.H.2    Fan, C.Y.3    Mani, V.4
  • 38
    • 84869505447 scopus 로고    scopus 로고
    • Fragment as a small evidence of the building blocks existence
    • Chen Y P (ed.), Adaptation, Learning, and Optimization, Springer-Verlag Berlin Heidelberg
    • Sangkavichitr C, Chongstitvatana P. Fragment as a small evidence of the building blocks existence. In Exploitation of Linkage Learning in Evolutionary Algorithms, Chen Y P (ed.), Adaptation, Learning, and Optimization, Springer-Verlag Berlin Heidelberg, 2010, pp.5-44.
    • (2010) Exploitation of Linkage Learning in Evolutionary Algorithms , pp. 5-44
    • Sangkavichitr, C.1    Chongstitvatana, P.2
  • 39
    • 0031122887 scopus 로고    scopus 로고
    • Ant colony system: A cooperative learning approach to the traveling salesman problem
    • PII S1089778X97033031
    • Dorigo M, Gambardella L M. Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 1997, 1(1): 53-66. (Pubitemid 127771018)
    • (1997) IEEE Transactions on Evolutionary Computation , vol.1 , Issue.1 , pp. 53-66
    • Dorigo, M.1    Gambardella, L.M.2
  • 41
    • 84982024645 scopus 로고
    • Studies in statistical ecology: I. Spatial pattern
    • Skellam J G. Studies in statistical ecology: I. Spatial pattern. Biometrica, 1952, 39(3/4): 346-362.
    • (1952) Biometrica , vol.39 , Issue.3-4 , pp. 346-362
    • Skellam, J.G.1
  • 45
    • 38549147621 scopus 로고    scopus 로고
    • TSP - Infrastructure for the traveling salesperson problem
    • Hahsler M, Hornik K. TSP - Infrastructure for the traveling salesperson problem. Journal of Statistical Software, 2007, 23(2): 1-21.
    • (2007) Journal of Statistical Software , vol.23 , Issue.2 , pp. 1-21
    • Hahsler, M.1    Hornik, K.2
  • 46
    • 0027657414 scopus 로고
    • Empirical study of genetic operators in genetic algorithms
    • Open System Design: Hardware, Software and Applications
    • Yao X. An empirical study of genetic operators in genetic algorithms. Microprocessing and Microprogramming, 1993, 38(1-5): 707-714. (Pubitemid 23694319)
    • (1993) Microprocessing and microprogramming , vol.38 , Issue.1-5 , pp. 707-714
    • Yao Xin1
  • 47
    • 77949534671 scopus 로고    scopus 로고
    • Quantum interference crossover-based clonal selection algorithm and its application to travelling salesman problem
    • E92.D
    • Dai H W, Yang Y, Li C, Shi J, Gao S, Tang Z. Quantum interference crossover-based clonal selection algorithm and its application to travelling salesman problem. IEICE Trans. Inf. & Syst., 2009, E92.D(1): 78-85.
    • (2009) IEICE Trans. Inf. & Syst. , Issue.1 , pp. 78-85
    • Dai, H.W.1    Yang, Y.2    Li, C.3    Shi, J.4    Gao, S.5    Tang, Z.6
  • 48
    • 84870944935 scopus 로고    scopus 로고
    • Developing a varietal GA with ESMA strategy for solving the pick and place problem in printed circuit board assembly line
    • DOI: 10.1007/s10845-010-0461-9
    • Chang P C, Huang W H, Ting C J. Developing a varietal GA with ESMA strategy for solving the pick and place problem in printed circuit board assembly line. Journal of Intelligent Manufacturing, 2010, DOI: 10.1007/s10845-010-0461-9.
    • (2010) Journal of Intelligent Manufacturing
    • Chang, P.C.1    Huang, W.H.2    Ting, C.J.3


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