Q. Ye,"Currency Arbitrage Detection Using a Binary Integer Programming Model," International Journal of Mathematical Education in Science and Technology, vol. 42, no. 3, 2011, pp. 369-376.W. Soon and H.Q. Ye, "Currency arbitrage detection using a binary integer programming model" ...
19.pdf hello everyone, i want to implement a BIP optimization in Matlab, my model has some nested summations variables and constraints(figure below). so i don't have any idea about how to do this project. i will be thankful if you could help me. ...
Shift scheduling problem (SSP) is a complex NP-hard integer programming problem, especially when many shifts and large number of workers of various ranks and multi-skills are involved. Shift scheduling also needs to comply with certain labour regulations and organisation’s rules and policies. Vario...
Binary Integer Programming Binary Integrated Services Digital Network Binary Intensity Mask Binary Interaction Parameter Binary Interchange and Information and Signaling Binary Interchange File Format Binary Interchange Format Binary Interchange Standard and Object Notation ...
Selecting a limited overs cricket squad using an integer programming model An integer programming model was developed to select an one day international cricket squad of 15 players. To develop the method, batting, bowling and fielding ability, which are measured differently, had to be placed onto ...
(2020). A two-stage model for balancing instructor workload and teaching preference in university course timetabling [ Master’s thesis, Chulalongkorn University]. Chula Digital Collections. https://digital.car.chula.ac.th/cgi/viewcontent.cgi?article=1343&context=chulaetd(open in a new window) ...
Supervalid inequalities are a specific type of constraints often used within the branch-and-cut framework to strengthen the linear relaxation of mixed-integer programs. These inequalities share the particular characteristic of potentially removing feasible integer solutions as long as they are already domi...
Here, Cap, vr, and wr are non-negative integer values. The MOKP model is stated as follows: (A.5)max∑r=1nvrjxrj=1,…,p (A.6)s.t.∑r=1nwrxr≤Cap (A.7)xr∈{0,1}r=1,…,n Eq. (A.5) represents the objective functions maximising the p total profits of selected items. ...
(LCS) algorithms are unique however, in their ability to model very complex associations in data, while offering a largely interpretable model made up of simple, human readable IF:THEN rules. They have also been demonstrated to be able to tackle both complex feature interactions as well as ...
Optimization has shown to be useful to decide how classifiers should be ensembled. For instance, in [77,206] a column generation approach [105] is used in the boosting environment, whereas a quadratic programming model is used in [174]. Show moreView article...