بهینه سازی برنامه ریزی تولید با استفاده از الگوریتم ژنتیک و بهینه سازی ذرات (مطالعه موردی: کارخانه چای صوفی)
Subject Areas : Strategic planning
1 - گروه مدیریت صنعتی، واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران
2 - دکتری مدیدت صنعتی، دانشگاه تهران
Keywords: -,
Abstract :
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Asgarpour Khansary, M., Hallaji Sani, A. (2014). Using genetic algorithm (GA) and particle swarm optimization (PSO) methods for determination of interaction parameters in multicomponent systems of liquid-liquid equilibria. Fluid Phase Equilibria, 365, 141–145.
Braune, R., Wanger, S., Affenzeller, M. (2000). Applying Genetic Algorithms to the optimization of production planning in a real world manufacturing environment. Institute of Systems Theory and Simulation Johannes Kepler University, 69.
Dilworth, J. (1989). Production and Operation Management, Manufacturing and Non Manufacturing. . Fourth Edition. London: Rondan House Inc.
Fatemi Qomi, M.T. (2004). Planning and inventory control. Amir Kabir Publications.
Giftson Samuel, G., & Christober Asir Rajan, C. (2015). Hybrid: Particle Swarm Optimization-Genetic Algorithm and Particle Swarm Optimization-Shuffled Frog Leaping Algorithm for long-term generator maintenance scheduling. International Journal of Electrical Power and Energy Systems, 65, 432–442.
Jewski, L. J. K., & Ritzman L.P. (2001). Operation Management. (Sixth Edit). Newjersy: Prentic Hall.
Karimi, H., Youssef, H., Omar, A. (2010). Adaptive fuzzy APSO based inverse tracking controller with an application DC motor. Expert System with Application, 36, 3454–3458.
Kennedy J. (1997). The Particle Swarm: Social Adaptation of knowledge. In proceeding of 1997 international conference on evolutionary computing. IEEE press.
Kuo, R. J., Syu, Y. J., Chen, Z.-Y., Tien, F. C. (2012). Integration of particle swarm optimization and genetic algorithm for dynamic clustering. Information Sciences, 195, 124–140.
Liu, X., An, H., Wang, L., Lia, X. (2016). An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and genetic algorithms. Applied Energy.
Mansour, R., Bettayeb, M., Djamah, T., & Djnnoun, S. (2008). Fitting fractional System identification using Particle swarm optimization. Applied Mathematics and Computation, 510–520, 510–520.
Mitchell M. (1996). An introduction to Genetic Algorithms. MIT Press, Cambrige, MA.
Modares, H. (2013). Controller design of noise cancellation by active method using algorithm based on particles colony.
Naima, K., Fadela, B., Imene, C., & Abdelkader, C. (2015). USE of Genitic Algorithm and Particle Swarm Optimisation Methods for the Optimal Control of the Reactive Power in Western Algerian Power System. Energy Procedia, 74, 265–272.
Nunez-Letamendia, L. (2015). Fitting the control parameters of a genetic algorithm an application to technical trading systems design. European Journal of Operational Research, 179, 179(847-868).2007.
Pavão, L., Ravagnani, M. (2016). Heat Exchanger Network Synthesis using a Genetic Algorithms-Particle Swarm Optimization Hybrid Method and Parallel Processing. Computer Aided Chemical Engineering (Vol. 38). Elsevier Masson SAS.
Soleimani, H., Kannan, G. (2014). A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Applied Mathematical Modelling, 39(14), 3990–4012. http://doi.org/10.1016/j.apm.2014.12.016
Vonderembse, M. A., White, G. P. (2014). Core Concepts of Operations Management. West Publishing Company.
Wang, Y., Ma, X., Xu, M., Liu, Y., Wang, Y. (2015). Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization-genetic algorithm. Expert Systems with Applications, 42(12), 5019–5031.
Yand, F., & ChiangH.D. (1996). A Parallel genetic algorithm for generation expansion planning. IEEE Trans.On Power System, 11(3), 478–486.
Zha, Y., Liang, N., Wu, M., Bian, Y. (2016). Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach. Omega (United Kingdom).
Zolghadri, M., Oliver, C., Bourriers., J. (2008). Close Optimal Production and Procurement Policy for a X-network of Added Value Using Lexicographic Linear Goal Programming. Computers and Industrial Engineering, 54, 821–839.