How to cite this paper
Mahrudinda, M., Chaerani, D & Rusyaman, E. (2022). Systematic literature review on adjustable robust counterpart for internet shopping optimization problem.International Journal of Data and Network Science, 6(2), 581-594.
Refrences
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Ben-Tal, A., Ghaoui, L. El, & Nemirovski, A. (2009). Robust optimization. In Robust Optimization. books.google.com. https://doi.org/10.1016/s1474-6670(17)42591-2
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization--methodology and applications. Mathematical Programming, 92(3), 453–480.
Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization (ch1-5). In Introduction to Linear Optimization (Vol. 6). Athena Scientific Belmont, MA.
Billionnet, A., Costa, M. C., & Poirion, P. L. (2014). 2-stage robust MILP with continuous recourse variables. Discrete Applied Mathematics, 170, 21–32. https://doi.org/10.1016/j.dam.2014.01.017
Blazewicz, J., Bouvry, P., Kovalyov, M. Y., & Musial, J. (2014). Erratum to: Internet shopping with price-sensitive discounts (4OR-Q J Oper Res (2014) 12, (35-48), 10.1007/s10288-013-0230-7). In 4or (Vol. 12, Issue 4, pp. 403–406). https://doi.org/10.1007/s10288-014-0271-6
Blazewicz, J., Cheriere, N., Dutot, P. F., Musial, J., & Trystram, D. (2016). Novel dual discounting functions for the Internet shopping optimization problem: new algorithms. Journal of Scheduling, 19(3), 245–255. https://doi.org/10.1007/s10951-014-0390-0
Błazewicz, J., Kovalyov, M., Musiał, J., Urbański, A., & Wojciechowski, A. (2010). Internet shopping optimization problem. International Journal of Applied Mathematics and Computer Science, 20(2), 385–390. https://doi.org/10.2478/v10006-010-0028-0
Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
Chaerani, D., Rusyaman, E., Mahrudinda, Marcia, A., & Fridayana, A. (2021). Adjustable robust counterpart optimization model for internet shopping online problem. Journal of Physics: Conference Series, 1722(1), 12074. https://doi.org/10.1088/1742-6596/1722/1/012074
Chen, X., & Zhang, Y. (2009). Uncertain linear programs: Extended affinely adjustable robust counterparts. Operations Research, 57(6), 1469–1482. https://doi.org/10.1287/opre.1080.0605
Chung, J. B. (2017). Internet shopping optimization problem with delivery constraints. Journal of Distribution Science, 15(2), 15–20. https://doi.org/10.15722/jds.15.2.201702.15
Chung, J., & Choi, B. (2017). Complexity and algorithms for optimal bundle search problem with pairwise discount. Journal of Distribution Science, 15(7), 35–41. https://doi.org/10.15722/jds.15.7.201707.35
Glover, F. (1989). Tabu search—part I. ORSA Journal on Computing. https://pubsonline.informs.org/doi/abs/10.1287/ijoc.1.3.190
Józefczyk, J., & Ławrynowicz, M. (2018). Heuristic algorithms for the Internet shopping optimization problem with price sensitivity discounts. Kybernetes, 47(4), 831–852. https://doi.org/10.1108/K-07-2017-0264
LÓ Pez-Loc ÉS, M. C., Rege, K., Pecero, J. E., Bouvry, P., & Huacuja, Héc. J. F. (2015). Trajectory metaheuristics for the internet shopping optimization problem. Studies in Computational Intelligence, 601, 527–536. https://doi.org/10.1007/978-3-319-17747-2_41
Lopez-Loces, M. C., Musial, J., Pecero, J. E., Fraire-Huacuja, H. J., Blazewicz, J., & Bouvry, P. (2016). Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science, 26(2), 391–406. https://doi.org/10.1515/amcs-2016-0028
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2009.06.005
Musial, J., Pecero, J. E., Lopez-Loces, M. C., Fraire-Huacuja, H. J., Bouvry, P., & Blazewicz, J. (2016). Algorithms solving the Internet shopping optimization problem with price discounts. Bulletin of the Polish Academy of Sciences: Technical Sciences, 64(3), 505–516. https://doi.org/10.1515/bpasts-2016-0056
Musial, Jedrzej, & Lopez-Loces, M. C. (2017). Trustworthy Online Shopping with Price Impact. Foundations of Computing and Decision Sciences, 42(2), 121–136. https://doi.org/10.1515/fcds-2017-0005
Musial, Jedrzej, Pecero, J. E., Lopez, M. C., Fraire, H. J., Bouvry, P., & Blazewicz, J. (2014). How to efficiently solve internet shopping optimization problem with price sensitive discounts? ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications, 209–215. https://doi.org/10.5220/0005112602090215
Sadollah, A., Gao, K., Barzegar, A., & Su, R. (2017). Improved model of combinatorial Internet shopping optimization problem using evolutionary algorithms. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016. https://doi.org/10.1109/ICARCV.2016.7838660
Sayyaadi, H., Sadollah, A., Yadav, A., & Yadav, N. (2019). Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems. Journal of Experimental and Theoretical Artificial Intelligence, 31(5), 701–721. https://doi.org/10.1080/0952813X.2018.1549109
Stovold, E., Beecher, D., Foxlee, R., & Noel-Storr, A. (2014). Study flow diagrams in Cochrane systematic review updates: An adapted PRISMA flow diagram. In Systematic Reviews (Vol. 3, Issue 1). https://doi.org/10.1186/2046-4053-3-54
Templeton, A. (2020). A bibliometric analysis of Atangana-Baleanu operators in fractional calculus. Alexandria Engineering Journal, 59(4), 2733–2738. https://doi.org/10.1016/j.aej.2020.05.016
Urbanek, S., Bibiko, H.-J., & Stefano, M. L. (2014). R: a language and environment for statistical computing. The R Foundation for Statistical Computing (4.0.2). https://www.r-project.org
Verma, S., Sinha, A., Kumar, P., & Maitin, A. (2020). Optimizing online shopping using genetic algorithm. Proceedings - 3rd International Conference on Information and Computer Technologies, ICICT 2020, 271–275. https://doi.org/10.1109/ICICT50521.2020.00048
Yanıkoğlu, İ., Gorissen, B. L., & den Hertog, D. (2019). A survey of adjustable robust optimization. European Journal of Operational Research, 277(3), 799–813. https://doi.org/10.1016/j.ejor.2018.08.031
Ben-Tal, A., Ghaoui, L. El, & Nemirovski, A. (2009). Robust optimization. In Robust Optimization. books.google.com. https://doi.org/10.1016/s1474-6670(17)42591-2
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization--methodology and applications. Mathematical Programming, 92(3), 453–480.
Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization (ch1-5). In Introduction to Linear Optimization (Vol. 6). Athena Scientific Belmont, MA.
Billionnet, A., Costa, M. C., & Poirion, P. L. (2014). 2-stage robust MILP with continuous recourse variables. Discrete Applied Mathematics, 170, 21–32. https://doi.org/10.1016/j.dam.2014.01.017
Blazewicz, J., Bouvry, P., Kovalyov, M. Y., & Musial, J. (2014). Erratum to: Internet shopping with price-sensitive discounts (4OR-Q J Oper Res (2014) 12, (35-48), 10.1007/s10288-013-0230-7). In 4or (Vol. 12, Issue 4, pp. 403–406). https://doi.org/10.1007/s10288-014-0271-6
Blazewicz, J., Cheriere, N., Dutot, P. F., Musial, J., & Trystram, D. (2016). Novel dual discounting functions for the Internet shopping optimization problem: new algorithms. Journal of Scheduling, 19(3), 245–255. https://doi.org/10.1007/s10951-014-0390-0
Błazewicz, J., Kovalyov, M., Musiał, J., Urbański, A., & Wojciechowski, A. (2010). Internet shopping optimization problem. International Journal of Applied Mathematics and Computer Science, 20(2), 385–390. https://doi.org/10.2478/v10006-010-0028-0
Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
Chaerani, D., Rusyaman, E., Mahrudinda, Marcia, A., & Fridayana, A. (2021). Adjustable robust counterpart optimization model for internet shopping online problem. Journal of Physics: Conference Series, 1722(1), 12074. https://doi.org/10.1088/1742-6596/1722/1/012074
Chen, X., & Zhang, Y. (2009). Uncertain linear programs: Extended affinely adjustable robust counterparts. Operations Research, 57(6), 1469–1482. https://doi.org/10.1287/opre.1080.0605
Chung, J. B. (2017). Internet shopping optimization problem with delivery constraints. Journal of Distribution Science, 15(2), 15–20. https://doi.org/10.15722/jds.15.2.201702.15
Chung, J., & Choi, B. (2017). Complexity and algorithms for optimal bundle search problem with pairwise discount. Journal of Distribution Science, 15(7), 35–41. https://doi.org/10.15722/jds.15.7.201707.35
Glover, F. (1989). Tabu search—part I. ORSA Journal on Computing. https://pubsonline.informs.org/doi/abs/10.1287/ijoc.1.3.190
Józefczyk, J., & Ławrynowicz, M. (2018). Heuristic algorithms for the Internet shopping optimization problem with price sensitivity discounts. Kybernetes, 47(4), 831–852. https://doi.org/10.1108/K-07-2017-0264
LÓ Pez-Loc ÉS, M. C., Rege, K., Pecero, J. E., Bouvry, P., & Huacuja, Héc. J. F. (2015). Trajectory metaheuristics for the internet shopping optimization problem. Studies in Computational Intelligence, 601, 527–536. https://doi.org/10.1007/978-3-319-17747-2_41
Lopez-Loces, M. C., Musial, J., Pecero, J. E., Fraire-Huacuja, H. J., Blazewicz, J., & Bouvry, P. (2016). Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science, 26(2), 391–406. https://doi.org/10.1515/amcs-2016-0028
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2009.06.005
Musial, J., Pecero, J. E., Lopez-Loces, M. C., Fraire-Huacuja, H. J., Bouvry, P., & Blazewicz, J. (2016). Algorithms solving the Internet shopping optimization problem with price discounts. Bulletin of the Polish Academy of Sciences: Technical Sciences, 64(3), 505–516. https://doi.org/10.1515/bpasts-2016-0056
Musial, Jedrzej, & Lopez-Loces, M. C. (2017). Trustworthy Online Shopping with Price Impact. Foundations of Computing and Decision Sciences, 42(2), 121–136. https://doi.org/10.1515/fcds-2017-0005
Musial, Jedrzej, Pecero, J. E., Lopez, M. C., Fraire, H. J., Bouvry, P., & Blazewicz, J. (2014). How to efficiently solve internet shopping optimization problem with price sensitive discounts? ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications, 209–215. https://doi.org/10.5220/0005112602090215
Sadollah, A., Gao, K., Barzegar, A., & Su, R. (2017). Improved model of combinatorial Internet shopping optimization problem using evolutionary algorithms. In 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016. https://doi.org/10.1109/ICARCV.2016.7838660
Sayyaadi, H., Sadollah, A., Yadav, A., & Yadav, N. (2019). Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems. Journal of Experimental and Theoretical Artificial Intelligence, 31(5), 701–721. https://doi.org/10.1080/0952813X.2018.1549109
Stovold, E., Beecher, D., Foxlee, R., & Noel-Storr, A. (2014). Study flow diagrams in Cochrane systematic review updates: An adapted PRISMA flow diagram. In Systematic Reviews (Vol. 3, Issue 1). https://doi.org/10.1186/2046-4053-3-54
Templeton, A. (2020). A bibliometric analysis of Atangana-Baleanu operators in fractional calculus. Alexandria Engineering Journal, 59(4), 2733–2738. https://doi.org/10.1016/j.aej.2020.05.016
Urbanek, S., Bibiko, H.-J., & Stefano, M. L. (2014). R: a language and environment for statistical computing. The R Foundation for Statistical Computing (4.0.2). https://www.r-project.org
Verma, S., Sinha, A., Kumar, P., & Maitin, A. (2020). Optimizing online shopping using genetic algorithm. Proceedings - 3rd International Conference on Information and Computer Technologies, ICICT 2020, 271–275. https://doi.org/10.1109/ICICT50521.2020.00048
Yanıkoğlu, İ., Gorissen, B. L., & den Hertog, D. (2019). A survey of adjustable robust optimization. European Journal of Operational Research, 277(3), 799–813. https://doi.org/10.1016/j.ejor.2018.08.031