How to cite this paper
Poohoi, R., Puntusavase, K & Ohmori, S. (2023). A novel crossover operator for genetic algorithm: Stas crossover.Decision Science Letters , 12(3), 515-524.
Refrences
Ahmed, S. A., Biswas, T. K., & Nundy, C. K. (2019). An Optimization Model for Aggregate Production Planning and Control: A Genetic Algorithm Approach. International Journal of Research in Industrial Engineering, 8(3), 203-224.
Alam, T., Qamar, S., Dixit, A., & Benaida, M. (2020). Genetic algorithm: Reviews, implementations, and applications. arXiv preprint arXiv:2007.12673.
Burke, E. K., & Kendall, G. (2005). Search methodologies Introductory Tutorials in Optimization and Decision Support Techniques. Springer Science-i-Business Media, LLC.
Chakrabortty, R.K., & Hasin, Md.A. (2013). Solving an aggregate production planning problem by using multi-objective genetic algorithm (MOGA) approach. International Journal of Industrial Engineering Computations, 4(1), 1-12.
Cheraghalikhania, A., Khoshalhana, F., & Mokhtari, H. (2019). Aggregate production planning: A literature review and future research directions. International Journal of Industrial Engineering Computations, 10(2), 309-330.
Dakka, F., Aswin, M., & Siswojo, B. (2017). Multi-Plant Multi-Product Aggregate Production Planning Using Genetic Algorithm. International Journal of Engineering Research And Management, 4(7), 48-52.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization & Machine Learning. Pearson Education Pvt. Ltd., Singapore.
Ioannis, G.T. (2009). Solving constrained optimization problems using a novel genetic algorithm. Applied Mathematics and Computation, 208, 273-283.
Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5), 8091–8126.
Krajewski, L. J., & Ritzman, L. P. (1999). Operations Management: Strategy and Analysis. Wesley Publishing Company, United States of America.
Kramer, O. (2017). Genetic Algorithm Essentials. Springer International Publishing AG.
Lambora, A., Gupta, K., & Chopra, K. (2019). Genetic Algorithm- A Literature Review. In International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (Com-IT-Con) (pp. 380-384).
Mahmud, S., Hossain, M. S., & Hossain, M. M. (2018). Application of multi-objective genetic algorithm to aggregate production planning in a possibilistic environment. International Journal of Industrial and Systems Engineering, 30(1), 40-59.
Mathew, T. V. (2012). Genetic algorithm. Report submitted at IIT Bombay.
Mirjalili, S. (2019). Evolutionary Algorithms and Neural Networks. Springer International Publishing AG.
Mitchell, M. (1996). An Introduction to Genetic Algorithms. Massachusetts Institute of Technology. England.
Moghaddam, R.T., & Safaei, N. (2006). Solving a generalize aggregate production planning problem by genetic algorithm. Journal of Industrial Engineering International, Islamic Azad University, South Tehran Branch, 2(1), 53-64.
Pradenas, L., Penailillo, F., & Ferland, J. (2004). Aggregate production planning problem. A new algorithm. Electronic Notes in Discrete Mathematics, 18, 193–199.
Savsani, P., Banthia, G., Gupta, J., & Vyas, R. (2016). Optimal Aggregate Production Planning by using Genetic Algorithm. In Proceedings of the 2016 Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia (pp. 863-874).
Shukla, A., Tiwari, R., & Kala, R. (2010). Towards Hybrid and Adaptive Computing. Studies in Computational Intelligence, 307. Springer-Verlag Berlin Heidelberg.
Sivanandam, S. N. & Deepa, S. N. (2008). Introduction to Genetic Algorithms. Springer-Verlag Berlin Heidelberg.
Wang, S. C., & Yeh, M. F. (2014). A modified particle swarm optimization for aggregate production planning. Expert Systems with Applications, 41(6), 3069-3077.
Alam, T., Qamar, S., Dixit, A., & Benaida, M. (2020). Genetic algorithm: Reviews, implementations, and applications. arXiv preprint arXiv:2007.12673.
Burke, E. K., & Kendall, G. (2005). Search methodologies Introductory Tutorials in Optimization and Decision Support Techniques. Springer Science-i-Business Media, LLC.
Chakrabortty, R.K., & Hasin, Md.A. (2013). Solving an aggregate production planning problem by using multi-objective genetic algorithm (MOGA) approach. International Journal of Industrial Engineering Computations, 4(1), 1-12.
Cheraghalikhania, A., Khoshalhana, F., & Mokhtari, H. (2019). Aggregate production planning: A literature review and future research directions. International Journal of Industrial Engineering Computations, 10(2), 309-330.
Dakka, F., Aswin, M., & Siswojo, B. (2017). Multi-Plant Multi-Product Aggregate Production Planning Using Genetic Algorithm. International Journal of Engineering Research And Management, 4(7), 48-52.
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization & Machine Learning. Pearson Education Pvt. Ltd., Singapore.
Ioannis, G.T. (2009). Solving constrained optimization problems using a novel genetic algorithm. Applied Mathematics and Computation, 208, 273-283.
Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A review on genetic algorithm: past, present, and future. Multimedia Tools and Applications, 80(5), 8091–8126.
Krajewski, L. J., & Ritzman, L. P. (1999). Operations Management: Strategy and Analysis. Wesley Publishing Company, United States of America.
Kramer, O. (2017). Genetic Algorithm Essentials. Springer International Publishing AG.
Lambora, A., Gupta, K., & Chopra, K. (2019). Genetic Algorithm- A Literature Review. In International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (Com-IT-Con) (pp. 380-384).
Mahmud, S., Hossain, M. S., & Hossain, M. M. (2018). Application of multi-objective genetic algorithm to aggregate production planning in a possibilistic environment. International Journal of Industrial and Systems Engineering, 30(1), 40-59.
Mathew, T. V. (2012). Genetic algorithm. Report submitted at IIT Bombay.
Mirjalili, S. (2019). Evolutionary Algorithms and Neural Networks. Springer International Publishing AG.
Mitchell, M. (1996). An Introduction to Genetic Algorithms. Massachusetts Institute of Technology. England.
Moghaddam, R.T., & Safaei, N. (2006). Solving a generalize aggregate production planning problem by genetic algorithm. Journal of Industrial Engineering International, Islamic Azad University, South Tehran Branch, 2(1), 53-64.
Pradenas, L., Penailillo, F., & Ferland, J. (2004). Aggregate production planning problem. A new algorithm. Electronic Notes in Discrete Mathematics, 18, 193–199.
Savsani, P., Banthia, G., Gupta, J., & Vyas, R. (2016). Optimal Aggregate Production Planning by using Genetic Algorithm. In Proceedings of the 2016 Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia (pp. 863-874).
Shukla, A., Tiwari, R., & Kala, R. (2010). Towards Hybrid and Adaptive Computing. Studies in Computational Intelligence, 307. Springer-Verlag Berlin Heidelberg.
Sivanandam, S. N. & Deepa, S. N. (2008). Introduction to Genetic Algorithms. Springer-Verlag Berlin Heidelberg.
Wang, S. C., & Yeh, M. F. (2014). A modified particle swarm optimization for aggregate production planning. Expert Systems with Applications, 41(6), 3069-3077.