Ahmadi Zar F., Hosseinabadi Farahani M., (2012), A novel hybrid genetic algorithm for the open shop scheduling problem, International Journal of Advanced Manufacturing Technology, 62, 775-787.
Ahmadizar F., Farhadi S., (2015). Single-machine batch delivery scheduling with job release dates, due windows and earliness, tardiness, holding and delivery costs, Computers & Operations Research, 53, 194-205.
Alba E., Dorronsoro B. (2004). Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms, Lecture Notes in Computer Science, (vol 3004). Springer, Berlin, Heidelberg.
Alvarez E., Díaz F., Osaba E., (2015), A multi-agent approach for dynamic production and distribution scheduling. Int. J. Engineering Management and Economics, 1, 1-20.
Amorim p., Belo-Filho M.A.F, Toledo F.M.B., Almeder C., Almada-Lobo B., (2013), Lot sizing versus batching in the production and distribution planning of perishable goods. Int. J. Production Economics, 146, 208–218.
Chen H.K., Hsueh C.F., Chang M.S., (2009), Production scheduling and vehicle routing with time windows for perishable food products, Computers & Operations Research. 36, 2009, 2311–2319.
Chen Z-L., (2010), Integrated Production and Outbound Distribution Scheduling. Review and Extensions Operations Research, 58(1), 130-148.
Chieu Ta Q., Billaut J.Ch., Bouquard J.L., (2015), Heuristic algorithms to minimize the total tardiness in a flow shop production and outbound distribution scheduling problem. Presented at the 6th IESM Conference, October 2015, Seville, Spain.
Choudhary K., Gautam G., Bharti N., Rathore V.S., (2019), Particle Swarm Optimization for Flexible Job Scheduling Problem with Mutation Strategy, Computing and Network Sustainability, 75, pp 497-503.
Diveev, A.I., Bobr O.V., (2017), Variational Genetic Algorithm for NP-hard Scheduling Problem Solution, Procedia Computer Science, 103, 52–58.
Eberhart R.C., Shi Y., (2000), Comparing inertia weights and constriction factors in particle swarm optimization, In Proceedings of Congress on Evolutionary Computing, 84–88.
R., Genetic Algorithms and Engineering Design, Wiley, New York.
He S., Wu Q.H., Wen J.Y., Saunders J.R., Paton R.C., (2004), A particle swarm optimizer with passive congregation. BioSystems, 78, 135–147.
Ho W., Ho G.T.S., Ji P., Lau H.C.W., (2008), A hybrid genetic algorithm for the multi-depot vehicle routing problem, Engineering Applications of Artificial Intelligence, 21, 548–557.
Jamrus T., Chien Ch., (2018), Hybrid Particle Swarm Optimization Combined With Genetic Operators for Flexible Job-Shop Scheduling Under Uncertain Processing Time for Semiconductor Manufacturing, IEEE Transactions on semiconductor manufacturing, 31(1).
Johar F., Nordin S. Z., Potts C.N., (2016), Coordination of Production Scheduling and Vehicle Routing Problem with Due Dates. American Institute of Physics Conference Proceedings
, 1750(1), 1–9.
Karimi N., Davoudpour H., (2015), A branch and bound method for solving multi-factory supply chain scheduling with batch delivery. Expert Systems with Applications, 42, 238–245.
Kaweegitbundit P., (2012), Evaluation Dispatching Rules for Two-Stage Hybrid Flow Shop Scheduling with Parallel Machines, Applied Mechanics and Materials, 152, 1487-1491.
Kennedy J., Eberhart R., (1997), A discrete binary version of the particle swarm algorithm, In Proceedings of the 1997 IEEE international conference on systems, 5, 4104– 4108.
Kennedy J., Eberhart R., (1995), Particle swarm optimization, In Proceedings of the 1995 IEEE international conference on neural network, 4)4(, 1942– 1948.
Kennedy J., Eberhart R.C., Shi Y., (2001), Swarm Intelligence, (Morgan Kaufmann: CA).
Kim Y.D., (1993), A new branch and bound algorithm for minimizing mean tardiness in 2-machine flow shops. Computers and Operations Research, 20, 391– 401.
Kumar R.S., Kondapaneni K., Dixit V., Goswami A., Thakur L.S., Tiwari M.K., (2015), Multi-objective modeling of production and pollution routing problem with time window: A self-learning particle swarm optimization approach. Computers & Industrial Engineering, 1-38.
Lacomme Ph., Moukrim A., Quilliot A., Vinot M., (2016), The Integrated Production and Transportation Scheduling Problem based on a GRASP×ELS resolution scheme. International Federation of Automatic Control, 49(12), 1466-1471.
Liao C.J., Tseng C.T., Luarn P., (2007), A discrete version of particle swarm optimization for flow shop scheduling problems, Comput Oper Res, 34, 3099–3111.
Low C., Chang C.M., Li R.K., and Huang C.L., (2014), Coordination of production scheduling and delivery problems with heterogeneous fleet. International Journal of Production Economics. 153(0), 139 -148.
Mirabi M., (2014), A novel hybrid genetic algorithm to solve the sequence-dependent permutation flow-shop scheduling problem, International Journal of Advanced Manufacturing Technology, 71, 429–437.
Moons, S., Ramaekers, K., Caris, A., Arda, Y., (2017), Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion, Computers & Industrial Engineering
Oguz C., Ercan M., (2005), A genetic algorithm for hybrid flow-shop scheduling with multiprocessor tasks, J.Scheduling, 8(4), 323-351.
Pan Q.K., Tasgetiren M.F., Liang Y.CH., (2008), A discrete particle swarm optimization algorithm for the no-wait flow shop scheduling problem, Computers & Operations Research, 35, 2807 – 2839.
Ramezanian R., Mohammadi Sh., Cheraghalikhani A., (2017), Toward an integrated modeling approach for production and delivery operations in flow shop system: Trade-off between direct and routing delivery methods, Journal of Manufacturing Systems, 44, 79–92.
Rohmer S., Billaut J.CH., (2015), Production and outbound distribution scheduling: a two-agent approach. Presented at the 6th IESM Conference, Seville, Spain.
Serifoglu F.S., Ulusoy G., (2004), Multiprocessor task scheduling in multistage hybrid flow shops: a genetic algorithm approach, J. Oper. Res. Soc, 55, 504–512.
Shi Y., Eberhart R.C., (1998), A modified particle swarm optimizer, in Proceedings of the IEEE Congress on Evolutionary Computation, 1998, 69–73.
Tasgetiren M.F., Sevkli M., Liang Y.C., Gencyilmaz G., (2004), Particle swarm optimization algorithm for single machine total weighted tardiness problem, in Proceeding of the IEEE Congress on Evolutionary Computation, 1412–1419.