Almehdawe, E. & Mantin, B., 2010. Vendor managed inventory with a capacitated manufacturer and multiple retailers: Retailer versus manufacturer leadership. Int. J. Prod. Econ.,128(1), 292-302.
Bass, F..M., 1969. A new product growth model for consumer durables. Manage. Sci., 15(5), 215–227.
Bass, F..M., Krishnan; T.V.,& Jain; D.C., 1994. Why the Bass model fits without decision variables. Mark.. Sci., 13(3), 203–223.
Cavalieri, S., and Gaiardelli, P., 1998, Hybrid genetic algorithms for a multiple-objective scheduling problem, J. Intell. Manuf, 9, 361-367.
Chen, Y. & Carrillo, J.E., 2011. Single firm product diffusion model for single-function and fusion products. Eur. J. Oper. Res., 214(2), 232-245.
Choffray, Marie, J., &Lilien, G.L., 1986. A decision support system for evaluating sales prospects and launch strategies for new products. Ind. Market. Manag. ,15(1), 75-85.
Chu, W.L., Wu, F.S., Kao, K.S.,& Yen, D.C, 2009. Diffusion of mobile telephony: An empirical study in Taiwan. Telecommun. Policy , 33(9), 506-520.
Dodson, J.A., &Muller, E.,1978. Model of new product diffusion through advertising and word-of-mouth. Manage. Sci., 24(15), 1568-1578.
Dreyfus, S.E., &Law, A.M.,1977. The art and theory of dynamic programming. Academic Press, New York.
Friedman, M.F., 1982. Inventory lot-size models with general time-dependent demand and carrying cost function. INFOR, 20, 157-167.
Fourt, L.A., &Woodlock, J.W.,1960. Early prediction of market success for new grocery products. J. Marketing,25(2), 31-38.
Goldberg, D.E., 1989. Genetic algorithm in search, optimization and machine learning. Newyork: Addision-Wesley.
Grefenstette, J.J., 1986, Optimization of control parameters for Genetic Algorithms, IEEE T. Syst. Man. Cyb., 16(1), 122-128.
Ho, T.H., Savin, S., & Terwiesch, C., 2002. Managing demand and sales dynamics in new product diffusion under supply constraint. Manage. Sci., 48(2), 187–206
Horsky, D., & Simon, L.S., 1983. Advertising and the diffusion of new products. Market. Sci., 2(1), 1-17
Hsiao, J.P.H., Jaw, C., &Huan, T.C.,2009. Information diffusion and new product consumption: A Bass model application to tourism facility management. J. Bus. Res.,62(7), 690-697.
Jain, A.K., and ElMaraghy, H.A., 1997, Single process plan scheduling with genetic algorithm, Prod. Plan. Control., 8(4), 363-376.
Jiang, Z., Bass, F.M., &Bass, P.I.,2006. Virtual Bass model and the left-hand data-truncation bias in diffusion of innovation studies. Int.J. Res. Mark., 23(1), 93-106.
Kapur, P.K., Pham, H., Kumar, V., & Anand, A. 2012. Dynamic optimal control model for profit maximization of software product under the influence of promotional effort. J. High. Tech. Manage. Res., 23(2), 122-129.
Krishnan, T.V., & Jain, D.C., 2006. Optimal dynamic advertising policy for new products. Manage. Sci., 52(8), 1957-1969.
Kumar, S., & Swaminathan, J.M., 2003. Diffusion of innovation under supply constraints. Oper. Res., 51(6), 866–879.
Lenk, Peter, J., & Rao, A., 1990. New products from old: Forecasting product adoption by hierarchical Bayes procedures. Manage. Sci., 9, 42-57
Lu, L., 1995. A one-vendor multi-buyer integrated inventory model. Eur. J. Oper. Res., 81(2), 312-323.
Mahajan, V., Muller, E., &Kerin, R.A.,1984. Introduction strategy for a new product with a positive and negative word-of-mouth. Manage. Sci., 30, 1389-1404.
Mahajan, V., Muller, E., &Bass, F.M.,1990. New product diffusion models in marketing: A review and directions for research. J. Marketing, 54, 1-26.
Mansfield, E., &Hensley, C.,1960. The logistic process: Tables of stochastic epidemic curve and application. J. R. Stat. Soc. SeriesB (Methodological), 22(2), 332-337.
Michalewicz, Z., 1996, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag Berlin Heidelberg New York.
Mine, H., Ohno, K., & Fukushima, M., 1977. Multilevel decompostion of nonlinear programming problems by dynamic programming. J. Math. Anal. Appl., 53, 7-27
Nikolopoulos, C.V., & Yannacopoulos, A.N., 2010. A model for optimal stopping in advertisement. Nonlinear Anal. Real World Appl., 11(14), 1229-1242.
Niu, S.C.,2002. A stochastic formulation of the Bass model of new-product diffusion. Math. Probl. Eng.,8(3), 249-263.
Niu, S.C.,2006. A piecewise-diffusion model of new-product demands. Oper. Res.,54(4), 678-695.
Parker, P., &Gatignon, H.,1994. Specifying competitive effects in diffusion models: An empirical analysis. Int.J. Res. Mark., 11(1), 17−39.
Peres, R., Muller, E., &Mahajan, V.,2010. Innovation diffusion and new product growth models: A critical review and research directions. Int.J. Res. Mark., 27(2), 91-106.
Roger,E.M.,1995. Diffusion of innovation, fourth ed. The Free Press, New York.
Savin, S., &Terwiesch, C., 2005. Optimal product launch times in a duopoly: Balancing life-cycle revenues with product cost. Oper. Res., 53(1), 26−47.
Shcherbina, O., 2007. Nonserial Dynamic Programming and Tree Decomposition in Discrete Optimization. Operations Research Proceedings 2006. K.-H. Waldmann and U. Stocker, Springer Berlin Heidelberg. 155-160.
Shihai, D., &Zhijun, H.,2010. Modeling the brand competition diffusion for consumer durables based on the bass model. In Proceedings of the International Conference on Logistics Systems and Intelligent Management, 1, 372-376.
Sultan, Fareena, Farley, J.U., &Lehmann, D.R., 1990. A meta analysis of applications of diffusion models. J. Marketing Res. , 27,70-77
Teng, J.T.,1996. A deterministic inventory replenishment model with a linear trend in demand. Oper. Res. Lett., 19, 33-41.
Teng, J.T., Chern, M.S., Yang, H.L., & Wang,Y.J., 1999. Deterministic Inventory Lot-Sizemodels with Shortages and Deterioration for Fluctuating Demand. Oper. Res. Lett., 24, 65-72.
Thomas, R.J., 1985. Estimating Market Growth for New Products: An Analogical Diffusion Models Approach. J. Prod. Innovat. Manag. , 2 (March), 45-55.
Tseng, M.F., &Hu, Y.C.,2009. Quadratic-interval Bass model for new product sale diffusion. Expert Syst. Appl., 36, 8496-8502.
Tsai, B.H., Li, Y., & Lee, K.H., 2010. Forecasting global adoption of crystal display televisions with modified product diffusion model. Comput. Ind. Eng., 58(4), 553-562.
Turk, T. & Trkman, P., 2012.Bass model estimates for broadband diffusion in European countries." Technol. Forecast. Soc., 79(1), 85-96.
Wang, W., Fergola, P., Lombardo, S., &Mulone, G., 2006. Mathematical models of innovation diffusion with stage structure. Appl. Math. Modell., 30(1), 129-146.
Wang, F.K. & Chang, K.K., 2009. Modified diffusion model with multiple products using a hybrid GA approach. Expert Syst. Appl., 36(10), 12613-12620.
Wu, F.S., &Chu, W.L.,2010. Diffusion model of mobile telephony. J. Bus. Res., 63(5), 497-501.
Yu, Y., Chu, F., & Chen, H., 2009. A Stackelberg game and its improvement in a VMI system with a manufacturing vendor. Eur. J. Oper. Res, 192(3), 929-948.