- Reduce the problem size using Linear Program Preprocessing.
- Solve an initial relaxed (non-integer) problem using Linear Programming.
- Perform Mixed-Integer Program Preprocessing to tighten the LP relaxation of the mixed-integer problem.
- Try Cut Generation to further tighten the LP relaxation of the mixed-integer problem.
- Try to find integer-feasible solutions using heuristics.
- Use a Branch and Bound algorithm to search systematically for the optimal solution. This algorithm solves LP relaxations with restricted ranges of possible values of the integer variables. It attempts to generate a sequence of updated bounds on the optimal objective function value.
intlinprog函数的算法是什么?how to transfer 'intlinprog function' into algorithm expression?
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想请教一下intlinprog函数的核心算法是什么,或者有哪些算法,论文的模型是0-1混合整数线性规划模型,需要求解算法,希望各位大佬解答。
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Varun
el 25 de En. de 2024
你好 贞 吴,
我会用英语回答你的问题。
Looks like you want to learn about the algorithm used by “intlinprog” function.
“intlinprog” uses following basic strategies to solve mixed-integer linear programs. “intlinprog” can solve the problem in any of the stages. If it solves the problem in a stage, “intlinprog” does not execute the later stages.
Algorithm Overview:
I have extracted this algorithm from the MathWorks’s documentation on “Mixed-Integer Linear Programming (MILP) Algorithms”. Please refer it below to learn in detail:
Hope it helps.
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