In each iteration of the BCD method, we solve a mixed-integer convex program (MICP) over a block of 25 binary variables. Our method is applicable to spreading code families of arbitrary sizes and lengths, and we demonstrate its effectiveness for a problem with 66 length-127 codes and a ...
[2][2022] Shortest Paths in Graphs of Convex Sets [3][2016] Aggressive Quadrotor Flight through Cluttered Environments Using Mixed Integer Programming [4][2015] Efficient Mixed-Integer Planning for {UAVs} in Cluttered Environments [5][2012] Mixed-integer quadratic program trajectory generation for ...
Mixed-integer programmingGlobal optimizationConvex hullDisjunctive cutSplit cutSplit-rankWe study the facet defining inequalities of the convex hull of a mixed-integer bilinear covering arising in trim-loss (or cutting stock) problem under the framework of disjunctive cuts. We show that all of them ...
Mixed integer programming
The solverecpMINLPsolves convex or pseudo-convex mixed-integer nonlinear programming problems using an extended cutting plane algorithm with cuts regulated by a parameter-vector alpha. Cuts and linearizations are added to MIP subproblem which is then solved by a subsolver in each iteration. ...
programming (SQP) stabilised by using trust regions. It can deal with both convex and nonconvex problems and problems with possibly expensive function evaluations. In addition, it is not assumed that the mixed integer problem has to be relaxable; the function evaluations are requested only at ...
A problem is classified as being integer programming (IP) when all of the decision variables of the model are discrete, that is, may assume values within a finite set or a numerable quantity of values, derived from counting. When part of the decision variables is discrete and the other is...
If you are not an expert in convex optimization and linear programming, why not give it a try. Genetic algorithm is always a good solution to optimization problem. import geatpy as ea import numpy as np n = 10 np.random.seed(3) a = np.random.randint(1, 10, size=n) b = np....
A Generalized Iterated Shrinkage Algorithm for Non-convex :一个广义的迭代收缩算法对非凸 热度: Mixed Integer Recourse Problems:混合整数追索权的问题 热度: Linear and Nonlinear Mixed-Effect Models - Penn State :线性和非线性混合效应模型-宾夕法尼亚州立大学 热度: 相关推荐 Non-ConvexMixed-...
(MIQP) portfolio optimization problem using the problem-based approach. The idea is to iteratively solve a sequence of mixed-integer linear programming (MILP) problems that locally approximate the MIQP problem. For the solver-based approach, seeMixed-Integer Quadratic Programming Portfolio Optimization:...