نتایج جستجو برای: integer programming mip model
تعداد نتایج: 2367702 فیلتر نتایج به سال:
Microsoft Word - Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid - R2
This paper presents a model for calculating the optimal size of an energy storage system (ESS) in a microgrid considering reliability criterion. A larger ESS requires higher investment costs while reduces the microgrid operating cost. The optimal ESS sizing problem is proposed which minimizes the investment cost of the ESS, as well as expected microgrid operating cost. Utilizing the ESS, genera...
Several industrial problems involve placing objects into a container without overlap, with the goal of minimizing a certain objective function. This problems arise in many industrial fields such as apparel manufacturing, sheet metal layout, shoe manufacturing, VLSI layout, furniture layout, etc., and are known by a variety of names: layout, packing, nesting, loading, placement, marker making, e...
In this paper, we propose an integer linear programming model whose solutions are the aperiodic rhythms tiling with a given rhythm A. We show how it can be used to define iterative algorithm that, period n, finds all which tile A and also efficiently check necessity of Coven-Meyerowitz condition (T2). To conclude, run several experiments validate time efficiency model.
When organizations do not have well defined goals and constraints, traditional mixed integer programming MIP models are ineffective for portfolio selection. In such cases, some organizations revert to building project portfolios based on data envelopment analysis DEA relative efficiency scores. However, implementing the k most efficient projects until resources are expended will not always resu...
Good inventory management is essential for a firm to be cost competitive and to acquire decent profit in the market, and how to achieve an outstanding inventory management has been a popular topic in both the academic field and in real practice for decades. As the production environment getting increasingly complex, various kinds of mathematical models have been developed, such as linear progra...
Machine learning (ML) has been recently introduced to solving optimization problems, especially for combinatorial (CO) tasks. In this paper, we survey the trend of leveraging ML solve mixed-integer programming problem (MIP). Theoretically, MIP is an NP-hard problem, and most CO problems can be formulated as MIP. Like other human-designed heuristic algorithms rely on good initial solutions cost ...
this paper uses the weighted l$_1-$norm to propose an algorithm for finding a well-dispersed subset of non-dominated solutions of multiple objective mixed integer linear programming problem. when all variables are integer it finds the whole set of efficient solutions. in each iteration of the proposed method only a mixed integer linear programming problem is solved and its optimal solutions gen...
This work is concerned with the problem of planning trajectories and assigning tasks for a Multi-Agent System (MAS) comprised differential drive robots. We propose multirate hierarchical control structure that employs planner based on robust Model Predictive Control (MPC) mixed-integer programming (MIP) encoding. The computes assigns each element group in real-time, while also guaranteeing comm...
Recent work on solving job-shop scheduling problems with earliness and tardiness costs has led to several hybrid algorithms that are more effective than any one method alone. In particular, these hybrid methods have been found to be more effective than pure mixed integer programming (MIP) approaches. This paper takes a fresh look at MIP formulations in light of several new MIP strategies for pr...
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