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Volumn 19, Issue 2, 2015, Pages 353-373

Combinatorial neighborhood topology bumble bees mating optimization for the vehicle routing problem with stochastic demands

Author keywords

Bumble bees mating optimization; Combinatorial neighborhood topology; Vehicle routing problem with stochastic demands

Indexed keywords

BENCHMARKING; BIOMIMETICS; GENETIC ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); STOCHASTIC SYSTEMS; TOPOLOGY; VEHICLE ROUTING; VEHICLES;

EID: 84921701005     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-014-1257-1     Document Type: Article
Times cited : (15)

References (61)
  • 1
    • 85016685139 scopus 로고    scopus 로고
    • A monogenous MBO approach to satisfiability. In: Proceeding of the international conference on computational intelligence for modelling, control and automation, CIMCA’2001
    • Abbass HA (2001a) A monogenous MBO approach to satisfiability. In: Proceeding of the international conference on computational intelligence for modelling, control and automation, CIMCA’2001, Las Vegas
    • (2001) Las Vegas
    • Abbass, H.A.1
  • 2
    • 0034870046 scopus 로고    scopus 로고
    • Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach
    • Abbass HA (2001b) Marriage in honey-bee optimization (MBO): a haplometrosis polygynous swarming approach. In: The congress on evolutionary computation (CEC2001), Seoul, May 2001, pp 207–214
    • (2001) The congress on evolutionary computation (CEC2001), Seoul, May , vol.2001 , pp. 207-214
    • Abbass, H.A.1
  • 3
    • 34248577020 scopus 로고    scopus 로고
    • Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation
    • Afshar A, Haddad OB, Marino MA, Adams BJ (2007) Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation. J Frankl Inst 344:452–462
    • (2007) J Frankl Inst , vol.344 , pp. 452-462
    • Afshar, A.1    Haddad, O.B.2    Marino, M.A.3    Adams, B.J.4
  • 4
    • 67651138854 scopus 로고    scopus 로고
    • Artificial bee colony algorithm and its application to generalized assignment problem
    • Chan FTS, Tiwari MK, (eds), I-Tech Education and Publishing, Austria:
    • Baykasoglu A, Ozbakir L, Tapkan P (2007) Artificial bee colony algorithm and its application to generalized assignment problem. In: Chan FTS, Tiwari MK (eds) Swarm intelligence, focus on ant and particle swarm optimization. I-Tech Education and Publishing, Austria
    • (2007) Swarm intelligence, focus on ant and particle swarm optimization
    • Baykasoglu, A.1    Ozbakir, L.2    Tapkan, P.3
  • 5
    • 12344279362 scopus 로고    scopus 로고
    • Scenario-based planning for partially dynamic vehicle routing with stochastic customers
    • Bent RW, Van Hentenryck P (2004) Scenario-based planning for partially dynamic vehicle routing with stochastic customers. Oper Res 52(6):977–987
    • (2004) Oper Res , vol.52 , Issue.6 , pp. 977-987
    • Bent, R.W.1    Van Hentenryck, P.2
  • 7
    • 67349194941 scopus 로고    scopus 로고
    • A survey on metaheuristics for stochastic combinatorial optimization
    • Bianchi L, Dorigo M, Gambardella LM, Gutjahr WJ (2009) A survey on metaheuristics for stochastic combinatorial optimization. Nat Comput 8(2):239–287
    • (2009) Nat Comput , vol.8 , Issue.2 , pp. 239-287
    • Bianchi, L.1    Dorigo, M.2    Gambardella, L.M.3    Gutjahr, W.J.4
  • 8
    • 34748829281 scopus 로고    scopus 로고
    • A branch-and-price algorithm for the capacitated vehicle routing problem with stochastic demands
    • Christiansen CH, Lysgaard J (2007) A branch-and-price algorithm for the capacitated vehicle routing problem with stochastic demands. Oper Res Lett 35:773–781
    • (2007) Oper Res Lett , vol.35 , pp. 773-781
    • Christiansen, C.H.1    Lysgaard, J.2
  • 10
    • 0000019618 scopus 로고
    • Vehicle routing with stochastic demands and restricted failures
    • Dror M, Laporte G, Louveaux FV (1993) Vehicle routing with stochastic demands and restricted failures. ZOR Methods Models Oper Res 37:273–283
    • (1993) ZOR Methods Models Oper Res , vol.37 , pp. 273-283
    • Dror, M.1    Laporte, G.2    Louveaux, F.V.3
  • 11
    • 34250683045 scopus 로고    scopus 로고
    • Application of honey bee mating optimization algorithm on clustering
    • Fathian M, Amiri B, Maroosi A (2007) Application of honey bee mating optimization algorithm on clustering. Appl Math Comput 190:1502–1513
    • (2007) Appl Math Comput , vol.190 , pp. 1502-1513
    • Fathian, M.1    Amiri, B.2    Maroosi, A.3
  • 14
    • 80755129045 scopus 로고    scopus 로고
    • Cyclic-order neighborhoods with application to the vehicle routing problem with stochastic demand
    • Goodson JC, Ohlmann JW, Thomas BW (2012) Cyclic-order neighborhoods with application to the vehicle routing problem with stochastic demand. Eur J Oper Res 217:312–323
    • (2012) Eur J Oper Res , vol.217 , pp. 312-323
    • Goodson, J.C.1    Ohlmann, J.W.2    Thomas, B.W.3
  • 15
    • 4344581959 scopus 로고    scopus 로고
    • A Heuristic algorithm for the stochastic vehicle routing problems with soft time windows
    • Guo ZG, Mac KL (2004) A Heuristic algorithm for the stochastic vehicle routing problems with soft time windows. Congr Evolut Comput 2:1449–1456
    • (2004) Congr Evolut Comput , vol.2 , pp. 1449-1456
    • Guo, Z.G.1    Mac, K.L.2
  • 16
    • 33747621841 scopus 로고    scopus 로고
    • Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization
    • Haddad OB, Afshar A, Marino MA (2006) Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization. Water Resour Manag 20:661–680
    • (2006) Water Resour Manag , vol.20 , pp. 661-680
    • Haddad, O.B.1    Afshar, A.2    Marino, M.A.3
  • 17
    • 0034818087 scopus 로고    scopus 로고
    • Variable neighborhood search: Principles and applications
    • Hansen P, Mladenovic N (2001) Variable neighborhood search: Principles and applications. Eur J Oper Res 130:449–467
    • (2001) Eur J Oper Res , vol.130 , pp. 449-467
    • Hansen, P.1    Mladenovic, N.2
  • 18
    • 33847229508 scopus 로고    scopus 로고
    • Designing delivery districts for the vehicle routing problem with stochastic demands
    • Haugland D, Ho SC, Laporte G (2007) Designing delivery districts for the vehicle routing problem with stochastic demands. Eur J Oper Res 180:997–1010
    • (2007) Eur J Oper Res , vol.180 , pp. 997-1010
    • Haugland, D.1    Ho, S.C.2    Laporte, G.3
  • 20
    • 84880506516 scopus 로고    scopus 로고
    • Using parallel and distributed computing for real-time solving of vehicle routing problems with stochastic demands. Ann Oper Res
    • Juan AA, Faulin J, Jorba J, Caceres J, Marques JM (2012) Using parallel and distributed computing for real-time solving of vehicle routing problems with stochastic demands. Ann Oper Res. doi:10.1007/s10479-011-0918-z
    • (2012) doi:10.1007/s10479-011-0918-z
    • Juan, A.A.1    Faulin, J.2    Jorba, J.3    Caceres, J.4    Marques, J.M.5
  • 21
    • 79955957973 scopus 로고    scopus 로고
    • Using safety stocks and simulation to solve the vehicle routing problem with stochastic demands
    • Juan A, Faulin J, Grasman S, Riera D, Marull J, Mendez C (2011) Using safety stocks and simulation to solve the vehicle routing problem with stochastic demands. Transp Res Part C 19:751–765
    • (2011) Transp Res Part C , vol.19 , pp. 751-765
    • Juan, A.1    Faulin, J.2    Grasman, S.3    Riera, D.4    Marull, J.5    Mendez, C.6
  • 22
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
    • Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39:459–471
    • (2007) J Global Optim , vol.39 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 23
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony (ABC) algorithm
    • Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8:687–697
    • (2008) Appl Soft Comput , vol.8 , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 24
    • 75149134664 scopus 로고    scopus 로고
    • A survey: algorithms simulating bee swarm intelligence
    • Karaboga D, Akay B (2009) A survey: algorithms simulating bee swarm intelligence. Artif Intell Rev 31:61–85
    • (2009) Artif Intell Rev , vol.31 , pp. 61-85
    • Karaboga, D.1    Akay, B.2
  • 25
    • 0037294747 scopus 로고    scopus 로고
    • Stochastic vehicle routing with random travel times
    • Kenyon AS, Morton DP (2003) Stochastic vehicle routing with random travel times. Transp Sci 37:69–82
    • (2003) Transp Sci , vol.37 , pp. 69-82
    • Kenyon, A.S.1    Morton, D.P.2
  • 26
    • 79955060659 scopus 로고    scopus 로고
    • The capacitated vehicle routing problem with stochastic demands and time windows
    • Lei H, Laporte G, Guo B (2011) The capacitated vehicle routing problem with stochastic demands and time windows. Comput Oper Res 38:1775–1783
    • (2011) Comput Oper Res , vol.38 , pp. 1775-1783
    • Lei, H.1    Laporte, G.2    Guo, B.3
  • 27
    • 77949568659 scopus 로고    scopus 로고
    • Vehicle routing problems with time windows and stochastic travel and service times: models and algorithm
    • Li X, Tian P, Leung SCH (2010) Vehicle routing problems with time windows and stochastic travel and service times: models and algorithm. Int J Prod Econ 125:137–145
    • (2010) Int J Prod Econ , vol.125 , pp. 137-145
    • Li, X.1    Tian, P.2    Leung, S.C.H.3
  • 29
    • 44949219287 scopus 로고    scopus 로고
    • Honey bees mating optimization algorithm for the vehicle routing problem
    • Krasnogor N, Nicosia G, Pavone M, Pelta D, (eds), Springer, Berlin: Studies in Computational Intelligence
    • Marinakis Y, Marinaki M, Dounias G (2008a) Honey bees mating optimization algorithm for the vehicle routing problem. In: Krasnogor N, Nicosia G, Pavone M, Pelta D (eds) Nature inspired cooperative strategies for optimization—NICSO 2007. Springer, Berlin, pp 139–148 Studies in Computational Intelligence
    • (2008) Nature inspired cooperative strategies for optimization—NICSO 2007 , pp. 139-148
    • Marinakis, Y.1    Marinaki, M.2    Dounias, G.3
  • 32
    • 70449922695 scopus 로고    scopus 로고
    • A hybrid honey bees mating optimization algorithm for the probabilistic traveling salesman problem
    • Trondheim, Norway:
    • Marinakis Y, Marinaki M (2009) A hybrid honey bees mating optimization algorithm for the probabilistic traveling salesman problem. In: Proceeding of IEEE congress on evolutionary computation (CEC 2009), Trondheim, Norway
    • (2009) Proceeding of IEEE congress on evolutionary computation (CEC , pp. 2009
    • Marinakis, Y.1    Marinaki, M.2
  • 33
    • 70350654095 scopus 로고    scopus 로고
    • A hybrid bumble bees mating optimization—GRASP algorithm for clustering
    • Corchado E, (ed), Springer, Berlin:
    • Marinakis Y, Marinaki M, Matsatsinis N (2009) A hybrid bumble bees mating optimization—GRASP algorithm for clustering. In: Corchado E (ed) HAIS 2009, LN 5572. Springer, Berlin, pp 549–556
    • (2009) HAIS 2009, LN 5572 , pp. 549-556
    • Marinakis, Y.1    Marinaki, M.2    Matsatsinis, N.3
  • 34
    • 77949917583 scopus 로고    scopus 로고
    • Honey bees mating optimization algorithm for large scale vehicle routing problems
    • Marinakis Y, Marinaki M, Dounias G (2010a) Honey bees mating optimization algorithm for large scale vehicle routing problems. Nat Comput 9:5–27
    • (2010) Nat Comput , vol.9 , pp. 5-27
    • Marinakis, Y.1    Marinaki, M.2    Dounias, G.3
  • 35
    • 77951673798 scopus 로고    scopus 로고
    • A Bumble bees mating optimization algorithm for global unconstrained optimization problems
    • Gonzalez JR, (ed), Springer, Berlin: Studies in Computational Intelligence
    • Marinakis Y, Marinaki M, Matsatsinis N (2010b) A Bumble bees mating optimization algorithm for global unconstrained optimization problems. In: Gonzalez JR (ed) Nature inspired cooperative strategies for optimization—NICSO 2010. Springer, Berlin, pp 305–318 Studies in Computational Intelligence
    • (2010) Nature inspired cooperative strategies for optimization—NICSO 2010 , pp. 305-318
    • Marinakis, Y.1    Marinaki, M.2    Matsatsinis, N.3
  • 36
    • 77649232076 scopus 로고    scopus 로고
    • Honey bees mating optimization algorithm for financial classification problems
    • Marinaki M, Marinakis Y, Zopounidis C (2010c) Honey bees mating optimization algorithm for financial classification problems. Appl Soft Comput 10:806–812
    • (2010) Appl Soft Comput , vol.10 , pp. 806-812
    • Marinaki, M.1    Marinakis, Y.2    Zopounidis, C.3
  • 39
    • 84875084540 scopus 로고    scopus 로고
    • Combinatorial neighborhood topology particle swarm optimization algorithm for the vehicle routing problem
    • Marinakis Y, Marinaki M (2013b) Combinatorial neighborhood topology particle swarm optimization algorithm for the vehicle routing problem. In: Middendorf M, Blum C (eds) EvoCOP 2013, LNCS 7832, pp 133–144
    • (2013) EvoCOP 2013, LNCS , vol.7832 , pp. 133-144
    • Marinakis, Y.1    Marinaki, M.2    Middendorf, M.3    Blum, C.4
  • 40
    • 84883104978 scopus 로고    scopus 로고
    • Combinatorial expanding neighborhood topology particle swarm optimization for the vehicle routing problem with stochastic demands
    • Amsterdam, The Netherlands:
    • Marinakis Y, Marinaki M (2013c) Combinatorial expanding neighborhood topology particle swarm optimization for the vehicle routing problem with stochastic demands. In: GECCO: 2013, genetic and evolutionary computation conference, 6–10 July 2013, Amsterdam, The Netherlands
    • (2013) GECCO: 2013, genetic and evolutionary computation conference, 6–10 July , pp. 2013
    • Marinakis, Y.1    Marinaki, M.2
  • 41
    • 84873690552 scopus 로고    scopus 로고
    • Particle swarm optimization for the vehicle routing problem with stochastic demands
    • Marinakis Y, Iordanidou GR, Marinaki M (2013a) Particle swarm optimization for the vehicle routing problem with stochastic demands. Appl Soft Comput 13:1693–1704
    • (2013) Appl Soft Comput , vol.13 , pp. 1693-1704
    • Marinakis, Y.1    Iordanidou, G.R.2    Marinaki, M.3
  • 42
    • 84921700456 scopus 로고    scopus 로고
    • Spanou P, A Memetic differential evolution algorithm for vehicle routing problem with stochastic demands and customers:
    • Marinakis Y, Marinaki M, Spanou P (2013b) A Memetic differential evolution algorithm for vehicle routing problem with stochastic demands and customers (submitted)
    • (2013) Marinaki M
    • Marinakis, Y.1
  • 43
    • 0000017036 scopus 로고
    • Large-step markov chains for the traveling salesman problem
    • Martin O, Otto SW, Felten EW (1991) Large-step markov chains for the traveling salesman problem. Complex Syst 5(3):299–326
    • (1991) Complex Syst , vol.5 , Issue.3 , pp. 299-326
    • Martin, O.1    Otto, S.W.2    Felten, E.W.3
  • 44
    • 77951107511 scopus 로고    scopus 로고
    • A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
    • Mendoza JE, Castaniera B, Guereta C, Medagliab AL, Velascob N (2010) A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands. Comput Oper Res 37:1886–1898
    • (2010) Comput Oper Res , vol.37 , pp. 1886-1898
    • Mendoza, J.E.1    Castaniera, B.2    Guereta, C.3    Medagliab, A.L.4    Velascob, N.5
  • 45
    • 79955625453 scopus 로고    scopus 로고
    • Stochastic single vehicle routing problem with delivery and pick up and a predefined customer sequence
    • Minis I, Tatarakis A (2011) Stochastic single vehicle routing problem with delivery and pick up and a predefined customer sequence. Eur J Oper Res 213:37–51
    • (2011) Eur J Oper Res , vol.213 , pp. 37-51
    • Minis, I.1    Tatarakis, A.2
  • 46
    • 58149260342 scopus 로고    scopus 로고
    • An approximate dynamic programming approach for the vehicle routing problem with stochastic demands
    • Novoa C, Storer R (2009) An approximate dynamic programming approach for the vehicle routing problem with stochastic demands. Eur J Oper Res 196:509–515
    • (2009) Eur J Oper Res , vol.196 , pp. 509-515
    • Novoa, C.1    Storer, R.2
  • 48
    • 23044517584 scopus 로고    scopus 로고
    • Varvarigou T (2000) Very large scale vehicle routing with time windows and stochastic demand using genetic algorithms with parallel fitness evaluation. HPCN
    • Protonotarios M, Mourkousis G, Vyridis I, Varvarigou T (2000) Very large scale vehicle routing with time windows and stochastic demand using genetic algorithms with parallel fitness evaluation. HPCN 2000, LNCS 1823, pp 467–476
    • (2000) LNCS , vol.1823 , pp. 467-476
    • Protonotarios, M.1    Mourkousis, G.2    Vyridis, I.3
  • 49
    • 84873621160 scopus 로고    scopus 로고
    • Analyzing a vehicle routing problem with stochastic demands using ant colony optimization
    • Jaszkiewicz A, Kaczmarek M, Zak J, Kubiak M, (eds), Publishing House of Poznan University of Technology, Poland:
    • Reimann M (2005) Analyzing a vehicle routing problem with stochastic demands using ant colony optimization. In: Jaszkiewicz A, Kaczmarek M, Zak J, Kubiak M (eds) Advanced OR and AI methods in transportation. Publishing House of Poznan University of Technology, Poland, pp 764–769
    • (2005) Advanced OR and AI methods in transportation , pp. 764-769
    • Reimann, M.1
  • 50
    • 0034086424 scopus 로고    scopus 로고
    • Comparing neuro-dynamic programming algorithms for the vehicle routing problem with stochastic demands
    • Secomandi N (2000) Comparing neuro-dynamic programming algorithms for the vehicle routing problem with stochastic demands. Comput Oper Res 27:1201–1225
    • (2000) Comput Oper Res , vol.27 , pp. 1201-1225
    • Secomandi, N.1
  • 51
    • 70449648908 scopus 로고    scopus 로고
    • The stochastic vehicle routing problem for large-scale emergencies. Technical Report 2005–06, Department of Industrial and Systems Engineering
    • Shen Z, Dessouky M, Ordonez F (2005) The stochastic vehicle routing problem for large-scale emergencies. Technical Report 2005–06, Department of Industrial and Systems Engineering, University of Southern California
    • (2005) University of Southern California
    • Shen, Z.1    Dessouky, M.2    Ordonez, F.3
  • 52
    • 0020941699 scopus 로고
    • Stochastic vehicle routing: a comprehensive approach
    • Stewart WR, Golden BL (1983) Stochastic vehicle routing: a comprehensive approach. Eur J Oper Res 14:371–385
    • (1983) Eur J Oper Res , vol.14 , pp. 371-385
    • Stewart, W.R.1    Golden, B.L.2
  • 54
    • 33750485322 scopus 로고    scopus 로고
    • Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
    • Tan KC, Cheong CY, Goh CK (2007) Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur J Oper Res 177:813–839
    • (2007) Eur J Oper Res , vol.177 , pp. 813-839
    • Tan, K.C.1    Cheong, C.Y.2    Goh, C.K.3
  • 55
    • 33646129374 scopus 로고    scopus 로고
    • A true annealing approach to the marriage in honey bees optimization algorithm
    • Teo J, Abbass HA (2003) A true annealing approach to the marriage in honey bees optimization algorithm. Int J Comput Intell Appl 3(2):199–211
    • (2003) Int J Comput Intell Appl , vol.3 , Issue.2 , pp. 199-211
    • Teo, J.1    Abbass, H.A.2
  • 56
    • 46149121233 scopus 로고    scopus 로고
    • Bee colony optimization—a cooperative learning approach to complex transportation problems. In: Advanced OR and AI methods in transportation, Proceedings of the 16th mini—EURO conference and 10th meeting of EWGT
    • Teodorovic D, Dell’Orco M (2005) Bee colony optimization—a cooperative learning approach to complex transportation problems. In: Advanced OR and AI methods in transportation, Proceedings of the 16th mini—EURO conference and 10th meeting of EWGT, pp 51–60
    • (2005) pp 51–60
    • Teodorovic, D.1    Dell’Orco, M.2
  • 57
    • 0007615505 scopus 로고
    • The multiple terminal delivery problem with probabilistic demands
    • Tillman F (1969) The multiple terminal delivery problem with probabilistic demands. Transp Sci 3:192–204
    • (1969) Transp Sci , vol.3 , pp. 192-204
    • Tillman, F.1
  • 58
    • 77049105442 scopus 로고    scopus 로고
    • BeeHive: an efficient fault-tolerant routing algorithm inspired by honey bee behavior
    • Dorigo M, (ed), Springer, Berlin:
    • Wedde HF, Farooq M, Zhang Y (2004) BeeHive: an efficient fault-tolerant routing algorithm inspired by honey bee behavior. In: Dorigo M (ed) Ant colony optimization and swarm intelligence, LNCS 3172. Springer, Berlin, pp 83–94
    • (2004) Ant colony optimization and swarm intelligence, LNCS 3172 , pp. 83-94
    • Wedde, H.F.1    Farooq, M.2    Zhang, Y.3
  • 59
    • 33645923128 scopus 로고    scopus 로고
    • Inter-city bus routing and timetable setting under stochastic demands
    • Yan S, Chi CJ, Tang CH (2006) Inter-city bus routing and timetable setting under stochastic demands. Transp Res Part A 40:572–586
    • (2006) Transp Res Part A , vol.40 , pp. 572-586
    • Yan, S.1    Chi, C.J.2    Tang, C.H.3
  • 60
    • 26444559584 scopus 로고    scopus 로고
    • LNCS 3562
    • Yang JM, Alvarez JR (eds) (2005) Engineering optimizations via nature-inspired virtual bee algorithms. IWINAC 2005, LNCS 3562. Springer, Berlin, pp 317–323
    • (2005) Springer, Berlin , pp. 317-323
    • Yang, J.M.1    Alvarez, J.R.2
  • 61
    • 0033905257 scopus 로고    scopus 로고
    • Stochastic vehicle routing problem with restocking
    • Yang WH, Mathur K, Ballou RH (2000) Stochastic vehicle routing problem with restocking. Transp Sci 34:99–112
    • (2000) Transp Sci , vol.34 , pp. 99-112
    • Yang, W.H.1    Mathur, K.2    Ballou, R.H.3


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