MLA
Tuzkaya, Gülfem,et al. "A Hybrid Genetic Algorithm-Simulated Annealing Approach for the Multi-Objective Vehicle Routing Problem with Time Windows." Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions, edited by Jairo R. Montoya-Torres, et al., IGI Global, 2012, pp. 79-97. http://doi:10.4018/978-1-61350-086-6.ch004
APA
Tuzkaya, G., Gülsün, B., Bildik, E., & Çaglar, E. G. (2012). A Hybrid Genetic Algorithm-Simulated Annealing Approach for the Multi-Objective Vehicle Routing Problem with Time Windows. In Montoya-Torres, J. R., Juan, A. A., Huaccho Huatuco, L., Faulin, J., & Rodriguez-Verjan, G. L. (Ed.), Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions (pp. 79-97). IGI Global. http://doi:10.4018/978-1-61350-086-6.ch004
Chicago
Tuzkaya, Gülfem and Bahadir Gülsün, Ender Bildik, and E. Gözde Çaglar. "A Hybrid Genetic Algorithm-Simulated Annealing Approach for the Multi-Objective Vehicle Routing Problem with Time Windows." In Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions. edited by Jairo R. Montoya-Torres , Angel A. Juan , Luisa Huaccho Huatuco , Javier Faulin , and Gloria L. Rodriguez-Verjan, 79-97. Hershey, PA: IGI Global, 2012. http://doi:10.4018/978-1-61350-086-6.ch004
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