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Volumn 2013, Issue , 2013, Pages

A slicing tree representation and QCP-model-based heuristic algorithm for the unequal-area block facility layout problem

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; HEURISTIC ALGORITHMS; HEURISTIC METHODS; TREES (MATHEMATICS);

EID: 84896142175     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2013/853586     Document Type: Article
Times cited : (14)

References (36)
  • 2
    • 0000970291 scopus 로고
    • A heuristic algorithm and simulation approach to relative allocation of facilities
    • DOI: http://dx.doi.org/10.1287/mnsc.9.2.294
    • Armour G. C., Buffa E. S., A heuristic algorithm and simulation approach to relative allocation of facilities. Management Science 1963 9 2 294 300 DOI: http://dx.doi.org/10.1287/mnsc.9.2.294
    • (1963) Management Science , vol.9 , Issue.2 , pp. 294-300
    • Armour, G.C.1    Buffa, E.S.2
  • 4
    • 36448983601 scopus 로고    scopus 로고
    • Facility layout problems: A survey
    • DOI 10.1016/j.arcontrol.2007.04.001, PII S1367578807000417
    • Drira A., Pierreval H., Hajri-Gabouj S., Facility layout problems: a survey. Annual Reviews in Control 2007 31 2 255 267 2-s2.0-36448983601 10.1016/j.arcontrol.2007.04.001 (Pubitemid 350167534)
    • (2007) Annual Reviews in Control , vol.31 , Issue.2 , pp. 255-267
    • Drira, A.1    Pierreval, H.2    Hajri-Gabouj, S.3
  • 6
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Geem Z. W., Kim J. H., Loganathan G. V., A new heuristic optimization algorithm: harmony search. Simulation 2001 76 2 60 68 2-s2.0-0034974417 (Pubitemid 32543074)
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 7
    • 41949119615 scopus 로고    scopus 로고
    • Novel derivative of harmony search algorithm for discrete design variables
    • DOI 10.1016/j.amc.2007.09.049, PII S0096300307009897
    • Geem Z. W., Novel derivative of harmony search algorithm for discrete design variables. Applied Mathematics and Computation 2008 199 1 223 230 2-s2.0-41949119615 10.1016/j.amc.2007.09.049 (Pubitemid 351508326)
    • (2008) Applied Mathematics and Computation , vol.199 , Issue.1 , pp. 223-230
    • Geem, Z.W.1
  • 9
    • 77949490771 scopus 로고    scopus 로고
    • A self-adaptive global best harmony search algorithm for continuous optimization problems
    • 2-s2.0-77949490771 10.1016/j.amc.2010.01.088
    • Pan Q.-K., Suganthan P. N., Tasgetiren M. F., Liang J. J., A self-adaptive global best harmony search algorithm for continuous optimization problems. Applied Mathematics and Computation 2010 216 3 830 848 2-s2.0-77949490771 10.1016/j.amc.2010.01.088
    • (2010) Applied Mathematics and Computation , vol.216 , Issue.3 , pp. 830-848
    • Pan, Q.-K.1    Suganthan, P.N.2    Tasgetiren, M.F.3    Liang, J.J.4
  • 10
    • 59649091441 scopus 로고    scopus 로고
    • STaTS: A slicing tree and tabu search based heuristic for the unequal area facility layout problem
    • 2-s2.0-59649091441 10.1016/j.ejor.2008.06.028
    • Scholz D., Petrick A., Domschke W., STaTS: a slicing tree and tabu search based heuristic for the unequal area facility layout problem. European Journal of Operational Research 2009 197 1 166 178 2-s2.0-59649091441 10.1016/j.ejor.2008.06.028
    • (2009) European Journal of Operational Research , vol.197 , Issue.1 , pp. 166-178
    • Scholz, D.1    Petrick, A.2    Domschke, W.3
  • 11
    • 0026979059 scopus 로고
    • Genetic algorithms function optimization, and facility layout design
    • 2-s2.0-0026979059
    • Tam K. Y., Genetic algorithms function optimization, and facility layout design. European Journal of Operational Research 1992 63 2 322 346 2-s2.0-0026979059
    • (1992) European Journal of Operational Research , vol.63 , Issue.2 , pp. 322-346
    • Tam, K.Y.1
  • 12
    • 0026745401 scopus 로고
    • A simulated annealing algorithm for allocating space to manufacturing cells
    • 2-s2.0-0026745401
    • Tam K. Y., A simulated annealing algorithm for allocating space to manufacturing cells. International Journal of Production Research 1992 30 1 63 87 2-s2.0-0026745401
    • (1992) International Journal of Production Research , vol.30 , Issue.1 , pp. 63-87
    • Tam, K.Y.1
  • 13
    • 0032294137 scopus 로고    scopus 로고
    • Solving facility layout problems with geometric constraints using parallel genetic algorithms: Experimentation and findings
    • Tam K. Y., Chan S. K., Solving facility layout problems with geometric constraints using parallel genetic algorithms: experimentation and findings. International Journal of Production Research 1998 36 12 3253 3272 2-s2.0-0032294137 (Pubitemid 128568686)
    • (1998) International Journal of Production Research , vol.36 , Issue.12 , pp. 3253-3272
    • Tam, K.Y.1    Chan, S.K.2
  • 15
    • 0032178213 scopus 로고    scopus 로고
    • Optimal facility layout design
    • PII S0167637798000248
    • Meller R. D., Narayanan V., Vance P. H., Optimal facility layout design. Operations Research Letters 1998 23 3-5 117 127 2-s2.0-0032178213 (Pubitemid 128676383)
    • (1998) Operations Research Letters , vol.23 , Issue.3-5 , pp. 117-127
    • Meller, R.D.1    Narayanan, V.2    Vance, P.H.3
  • 16
    • 0034691901 scopus 로고    scopus 로고
    • On solving facility layout problems using genetic algorithms
    • 2-s2.0-0034691901
    • Al-Hakim L., On solving facility layout problems using genetic algorithms. International Journal of Production Research 2000 38 11 2573 2582 2-s2.0-0034691901
    • (2000) International Journal of Production Research , vol.38 , Issue.11 , pp. 2573-2582
    • Al-Hakim, L.1
  • 17
    • 0036466945 scopus 로고    scopus 로고
    • The optimisation of block layout and aisle structure by a genetic algorithm
    • DOI 10.1016/S0360-8352(01)00063-8, PII S0360835201000638
    • Wu Y., Appleton E., The optimisation of block layout and aisle structure by a genetic algorithm. Computers and Industrial Engineering 2002 41 4 371 387 2-s2.0-0036466945 (Pubitemid 34040913)
    • (2002) Computers and Industrial Engineering , vol.41 , Issue.4 , pp. 371-387
    • Wu, Y.1    Appleton, E.2
  • 18
    • 5144223230 scopus 로고    scopus 로고
    • Genetic algorithm for facilities layout problems based on slicing tree structure
    • 2-s2.0-5144223230 10.1080/00207540410001716471
    • Shayan E., Chittilappilly A., Genetic algorithm for facilities layout problems based on slicing tree structure. International Journal of Production Research 2004 42 19 4055 4067 2-s2.0-5144223230 10.1080/00207540410001716471
    • (2004) International Journal of Production Research , vol.42 , Issue.19 , pp. 4055-4067
    • Shayan, E.1    Chittilappilly, A.2
  • 19
    • 70350572783 scopus 로고    scopus 로고
    • Applying ant system for solving unequal area facility layout problems
    • 2-s2.0-70350572783 10.1016/j.ejor.2009.06.016
    • Komarudin K., Wong K. Y., Applying ant system for solving unequal area facility layout problems. European Journal of Operational Research 2010 202 3 730 746 2-s2.0-70350572783 10.1016/j.ejor.2009.06.016
    • (2010) European Journal of Operational Research , vol.202 , Issue.3 , pp. 730-746
    • Komarudin, K.1    Wong, K.Y.2
  • 20
    • 34250868353 scopus 로고    scopus 로고
    • A sequence-pair representation and MIP-model-based heuristic for the facility layout problem with rectangular departments
    • DOI 10.1080/07408170600844108, PII 770238019
    • Liu Q., Meller R. D., A sequence-pair representation and MIP-model-based heuristic for the facility layout problem with rectangular departments. IIE Transactions 2007 39 4 377 394 2-s2.0-34250868353 10.1080/07408170600844108 (Pubitemid 46970916)
    • (2007) IIE Transactions (Institute of Industrial Engineers) , vol.39 , Issue.4 , pp. 377-394
    • Liu, Q.1    Meller, R.D.2
  • 21
    • 34248141625 scopus 로고    scopus 로고
    • An improved harmony search algorithm for solving optimization problems
    • DOI 10.1016/j.amc.2006.11.033, PII S0096300306015098
    • Mahdavi M., Fesanghary M., Damangir E., An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 2007 188 2 1567 1579 2-s2.0-34248141625 10.1016/j.amc.2006.11.033 (Pubitemid 46710046)
    • (2007) Applied Mathematics and Computation , vol.188 , Issue.2 , pp. 1567-1579
    • Mahdavi, M.1    Fesanghary, M.2    Damangir, E.3
  • 22
    • 40849115183 scopus 로고    scopus 로고
    • Global-best harmony search
    • DOI 10.1016/j.amc.2007.09.004, PII S0096300307009320
    • Omran M. G. H., Mahdavi M., Global-best harmony search. Applied Mathematics and Computation 2008 198 2 643 656 2-s2.0-40849115183 10.1016/j.amc.2007.09.004 (Pubitemid 351400737)
    • (2008) Applied Mathematics and Computation , vol.198 , Issue.2 , pp. 643-656
    • Omran, M.G.H.1    Mahdavi, M.2
  • 23
    • 77951136650 scopus 로고    scopus 로고
    • A local-best harmony search algorithm with dynamic subpopulations
    • 2-s2.0-77951136650 10.1080/03052150903104366
    • Pan Q.-K., Suganthan P. N., Liang J. J., Tasgetiren M. F., A local-best harmony search algorithm with dynamic subpopulations. Engineering Optimization 2010 42 2 101 117 2-s2.0-77951136650 10.1080/03052150903104366
    • (2010) Engineering Optimization , vol.42 , Issue.2 , pp. 101-117
    • Pan, Q.-K.1    Suganthan, P.N.2    Liang, J.J.3    Tasgetiren, M.F.4
  • 24
    • 79956120864 scopus 로고    scopus 로고
    • The variants of the harmony search algorithm: An overview
    • 2-s2.0-79956120864 10.1007/s10462-010-9201-y
    • Alia O. M., Mandava R., The variants of the harmony search algorithm: an overview. Artificial Intelligence Review 2011 36 1 49 68 2-s2.0-79956120864 10.1007/s10462-010-9201-y
    • (2011) Artificial Intelligence Review , vol.36 , Issue.1 , pp. 49-68
    • Alia, O.M.1    Mandava, R.2
  • 25
    • 84864927288 scopus 로고    scopus 로고
    • An intelligent tuned harmony search algorithm for optimisation
    • 2-s2.0-84857491700 10.1016/j.ins.2011.12.035
    • Yadav P., Kumar R., Panda S. K., Chang C. S., An intelligent tuned harmony search algorithm for optimisation. Information Sciences 2012 196 1 47 72 2-s2.0-84857491700 10.1016/j.ins.2011.12.035
    • (2012) Information Sciences , vol.196 , Issue.1 , pp. 47-72
    • Yadav, P.1    Kumar, R.2    Panda, S.K.3    Chang, C.S.4
  • 26
    • 20444466485 scopus 로고    scopus 로고
    • A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice
    • DOI 10.1016/j.cma.2004.09.007, PII S0045782504004682
    • Lee K. S., Geem Z. W., A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Computer Methods in Applied Mechanics and Engineering 2005 194 36-38 3902 3933 2-s2.0-20444466485 10.1016/j.cma.2004.09.007 (Pubitemid 40815237)
    • (2005) Computer Methods in Applied Mechanics and Engineering , vol.194 , Issue.36-38 , pp. 3902-3933
    • Lee, K.S.1    Geem, Z.W.2
  • 27
    • 84896141635 scopus 로고    scopus 로고
    • A stochastic network design of bulky waste recycling - A hybrid harmony search approach based on sample approximation
    • Chang M. S., Yang W. C., A stochastic network design of bulky waste recycling-a hybrid harmony search approach based on sample approximation. International Journal of Applied Operational Research 2013 3 3 15 40
    • (2013) International Journal of Applied Operational Research , vol.3 , Issue.3 , pp. 15-40
    • Chang, M.S.1    Yang, W.C.2
  • 31
    • 0000965291 scopus 로고
    • An experimental comparison of techniques for the assignment of facilities to locations
    • Nugent C. E., Vollman T. E., Ruml J., An experimental comparison of techniques for the assignment of facilities to locations. Operations Research 1968 16 150 173
    • (1968) Operations Research , vol.16 , pp. 150-173
    • Nugent, C.E.1    Vollman, T.E.2    Ruml, J.3
  • 32
    • 4344658587 scopus 로고    scopus 로고
    • Enhanced model formulations for optimal facility layout
    • 2-s2.0-4344658587 10.1287/opre.51.4.629.16096
    • Sherali H. D., Fraticelli B. M. P., Meller R. D., Enhanced model formulations for optimal facility layout. Operations Research 2003 51 4 629 644 2-s2.0-4344658587 10.1287/opre.51.4.629.16096
    • (2003) Operations Research , vol.51 , Issue.4 , pp. 629-644
    • Sherali, H.D.1    Fraticelli, B.M.P.2    Meller, R.D.3
  • 33
    • 27844521882 scopus 로고    scopus 로고
    • Optimization of block layout design problems with unequal areas: A comparison of MILP and MINLP optimization methods
    • DOI 10.1016/j.compchemeng.2005.07.012, PII S0098135405001924
    • Castillo I., Westerlund J., Emet S., Westerlund T., Optimization of block layout design problems with unequal areas: a comparison of MILP and MINLP optimization methods. Computers and Chemical Engineering 2005 30 1 54 69 2-s2.0-27844521882 10.1016/j.compchemeng.2005.07.012 (Pubitemid 41660500)
    • (2005) Computers and Chemical Engineering , vol.30 , Issue.1 , pp. 54-69
    • Castillo, I.1    Westerlund, J.2    Emet, S.3    Westerlund, T.4
  • 34
    • 33747352270 scopus 로고    scopus 로고
    • A new mixed integer programming formulation for facility layout design using flexible bays
    • 2-s2.0-33747352270 10.1016/j.orl.2005.09.009
    • Konak A., Kulturel-Konak S., Norman B. A., Smith A. E., A new mixed integer programming formulation for facility layout design using flexible bays. Operations Research Letters 2006 34 6 660 672 2-s2.0-33747352270 10.1016/j.orl.2005.09.009
    • (2006) Operations Research Letters , vol.34 , Issue.6 , pp. 660-672
    • Konak, A.1    Kulturel-Konak, S.2    Norman, B.A.3    Smith, A.E.4
  • 35
    • 77950187468 scopus 로고    scopus 로고
    • Using flexible bay structure representation and ant system algorithm solving facility layout problems
    • 2-s2.0-77950187468 10.1016/j.eswa.2009.12.080
    • Wong K. Y., Komarudin K., Using flexible bay structure representation and ant system algorithm solving facility layout problems. Expert Systems with Applications 2010 37 7 5523 5527 2-s2.0-77950187468 10.1016/j.eswa.2009.12.080
    • (2010) Expert Systems with Applications , vol.37 , Issue.7 , pp. 5523-5527
    • Wong, K.Y.1    Komarudin, K.2
  • 36
    • 84857259562 scopus 로고    scopus 로고
    • A new relaxed flexible bay structure representation and particle swarm optimization for the unequal area facility layout problem
    • 2-s2.0-84857259562 10.1080/0305215X.2010.548864
    • Kulturel-Konak S., Konak A., A new relaxed flexible bay structure representation and particle swarm optimization for the unequal area facility layout problem. Engineering Optimization 2011 43 12 1263 1287 2-s2.0-84857259562 10.1080/0305215X.2010.548864
    • (2011) Engineering Optimization , vol.43 , Issue.12 , pp. 1263-1287
    • Kulturel-Konak, S.1    Konak, A.2


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