MINLP

AcronymDefinition
MINLPMixed-Integer Nonlinear Programming
References in periodicals archive ?
To solve the virtual-cell association problem, we choose the graph partition algorithm (dynamic KLA-based network partitioning, which is proposed in this paper) due to the computational complexity of MINLP problem.
The MINLP model to maximize the number of parking spaces is based on the facility-layout strategy shown in Figure 1(b).
In this section, we adopt LINGO 11.0 as the MINLP solver to solve the converted model and to approximate the optimal solution.
The MINLP model and analysis based on numerical examples considering two service distance constraints are then presented before the conclusion with a note on limitations and potential future research.
One approach to solve MINLP is to first linearize the nonlinear portions in the formulation so as to transform MINLPs into mixed-integer linear programming problems (MIPs), and then apply techniques for MIP to solve for optimal solutions (see, e.g., [26, 27]).
The solutions of finest individuals found by mentioned algorithms are given in Table 2 Case I column with respect to best, worst, and average solution (of 35 simulations) along with the result of mixed-integer nonlinear programming (MINLP), small population based PSO, and improved DE published in literature [27, 35] and the convergence characteristics for h-ABC/GWO, ABC, GWO, SPPSO, IDE, and MINLP are shown in Figure 5(a).
The editors have organized the contributions that make up the main body of the text in seven chapters devoted to wide-area monitoring, protection and control needs, applications, and benefits, a MINLP approach for network reconfiguration and dispatch in distribution systems, improving voltage regulations in smart grids through adaptive fuzzy agents, and a variety of other related subjects.
Thus, the mentioned problem is a nonlinear optimization problem with a combination of continuous and discrete variables (MINLP).
1997), mixed integer nonlinear programming (MINLP) algorithm (Westerlund et al.
En cuanto a los modelos matematicos utilizados en los articulos, 27 articulos de los 22 utilizan modelos de programacion matematica, en los que se encuentran, principalmente, los modelos de programacion lineal entera mixta (MILP), programacion lineal entera mixta estocastica (SMILP), programacion no lineal entera mixta (MINLP) y programacion fraccional lineal entera mixta (MILFP).
From the viewpoint of the mathematical formulation, the NDTP represents a Mixed-Integer Nonlinear Programming (MINLP) optimization problem.