[1] Dantzig G, Ramser J. The truck dispatching problem[J]. Management Science, 1959, 10 (6): 80-91. [2] Shi Z, Fu Z. Research on two-phase chain store distribution vehicle routing problem with soft time windows[J]. Application Research of Computers, 2012, 29 (9): 94-99. [3] Ma H, Zuo C, Yand S. Modeling and solving for vehicle routing problem with multiple time windows[J]. Journal of System Engineering, 2009,24, (05): 607-613. [4] Peng B, Zhou Y. Hybrid ant colony algorithm for vehicle routing problem with multiple time windows[J]. Computer Engineering and Applications, 2010, 46 (31): 28-31. [5] Huang Q, Li Z. Mathematical model and algorithm for vehicle routing problem with multiple time windows[J]. Logistics Technology, 2012, 31(7): 194-196. [6] Hamed Shah-Hosseini. (2007). Problem Solving by Intelligent Water Drops[A]. Proceedings of the IEEE Congress on Evolutionary Computation, Singapore, 2007. 3226-3231. [7] Hamed Shah-Hosseini. The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm[J]. Bio-Inspired Computation, 2009, Vol. 1, Nos. 1/2. 71-79. [8] Hamed Shah-Hosseini. Optimization with the nature-inspired intelligent water drops[A]. In W. P. Dos Santos(Eds), Evolutionary computation, Austria: I-Tech, Vienna, 2009. 297-320. [9] Hamed Shah-Hosseini. Intelligent water drops algorithm for automatic multilevel thresholding of gray-level images using a modified Otsu’s criterion[J]. International Journal of Modeling, Identification and Control(IJMIC), 2012, 15(4): 241-249. [10] Kamkar, Akbarzaden, Yaghoobi. Intelligent water drops a new optimization algorithm for solving the Vehicle Routing Problem[A]. IEEE International Conference on Systems Man and Cybernetics, 2010. 4142-4146 [11] Tavakkoli-Moghaddam R, Safaei N, Ghlipour Y. A hybrid simulated annealing for capacitated vehicle routing problems with the independent route length[J]. Applied Mathematics and Computation, 2006, 176: 445-454 [12] Prins C. A simple and effective evolutionary algorithm for the vehicle routing problem[J]. Computers & Operations Research, 2004, 31: 1985-2002. [13] Geonwook Jeon, Herman R. Leep, Jae Young Shim. A vehicle routing problem solved by a hybrid genentic algorithm[J]. Journal of Computers and Industrial Engineering, 2007, 53(4): 680-692. [14] Renaud J, Laporte G, Boctor F F. A tabu search heuristic for the multi-depot vehicle routing problem[J]. Computers & Operations Research, 1996, 23 (3): 229-235. [15] Doerner K F, Hartl R F, Kiechle G, Lucka M, Reimann M. Parallel ant systems for the capacitated vehicle routing problem[A]. Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, LNCS 3004, 72-83. [16] Reimann M, Stummer M, Doemer K. (2002).A savings based ant system for the vehicle routing problem. Langdon,W.B. et al.(Eds), GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann, San Francisco. [17] Peng W, Tong R F, Tang M, Dong J X. (2005). Ant colony search algorithms for optimal packing problem. ICNC 2005, LNCS 3611, 1229-1238. [18] Msallam M M, Hamdan M. Improved intelligent water drops algorithm using adaptive schema[J]. Bio-Inspired Computation, 2011,3(2): 103-111. [19] Hamed Shah-Hosseini. (2012). An approach to continuous optimization by the intelligent water drops algorithm. The 4th International Conference of Cognitive Science, 224-229. [20] Niu S H, Ong S K, Nee A Y C. An improved intelligent water drops algorithm for achieving optimal job-shop scheduling solutions[J]. International Journal of Production Research, 2012, 50: 15, 4192-4205 [21] Hamed Shah-Hosseini. Intelligent water drops algorithm: a new optimization method for solving the multiple knapsack problem[J]. International Journal of Intelligent Computing and Cybernetics, 2008, 1(2): 193-212. [22] Duan H, Liu S, Lei X. (2008). Air robot path planning based on intelligent water drops optimization. IEEE International Joint Conference on Neural Networks(IJCNN2008), 1(8): 1397-1401. [23] Duan H, Liu S, Wu J. Novel intelligent water drops optimization approach to single UCAV smooth path planning[J]. Aerospace Science and Technology, 2009, 13: 442-449. |