Atamtürk A, Nemhauser GL, Savelsbergh MWP (2000) Conflict graphs in solving integer programming problems. Eur J Oper Res 121(1):40–55Atamtürk, A., Nemhauser, G.L., Savelsbergh, M.W.P.: Conflict graphs in solving integer programming problems. European Journal of Operational Research...
Peterson, An algorithm (GIPC2) for solving integer programming problems with separable nonlinear objective functions, Naval Research Logistics Quarterly 26(1978) 595.C. Pegden and C. Peterson, An algorithm (GIPC2) for solving integer programming problems with separable nonlinear objective functions, ...
for example, the convex hull ofm+ 1 (0 ≤m≤n) affinely independent vectors of ℝn, the problem is that of determining whether or notPcontains an integer point. This problem is not quite as innocent as it appears. In fact we first prove that it is intractable in the sense that it ...
The current situation is that the average time to solve many important practical integer programming problems is quite short. The fact that someone may occasionally present us with an extremely difficult integer programming problem does not prevent us from profiting from the fact that a large number...
The experiments are tested on 7 integer programming problems and 10 minimax problems. In 2022, Khan et al.10 proposed a non-deterministic meta-heuristic algorithm called Non-linear Activated Beetle Antennae Search (NABAS) for a non-convex tax-aware portfolio selection problem. Brajević et al....
Various integer programming models have been proposed for sequencing problems. However, little is known about the practical value of these models. This paper reports a comparison of six different integer programming formulations of the single-machine total tardiness problem. We created a set of especia...
NONLINEAR programmingBASIC (Computer program language)COMPUTER programsThis paper is concerned with optimizing a nonlinear objective function subject to nonlinear constraints; the variables involved are a mixture of discrete variables, integer variables, and continuous variables. Often engineering problems have...
Padberg, “Solving large-scale symmetric travelling salesman problems”,Management Science 26 (1980) 495–509. Google Scholar W. Cunningham and A. Marsh, “A primal algorithm for optimum matching”,Mathematical Programming Study 8 (1978) 50–72. Google Scholar U. Derigs, “Solving matching ...
Mathematical optimisation is a quantitative and transparent framework for solving these problems. Despite several advantages of exact methods such as integer linear programming (ILP), most conservation planning problems to date have been solved using heuristic approaches such as simulated annealing (SA). ...
In this tutorial, we will learn how to solve linear programming problems (LPPs) using PuLP and Python. At first, we… medium.com 4. Solving Integer Programming Problems with PuLP Now that we understand how to formulate an integer programming problem, let’s see how to solve it using...