Description: ADMM方法对于求解线性约束凸优化问题是有效的。在本文中，我们提出了一个邻近线性算法，同伦算法习惯于求解每个迭代点的子问题。在合适的条件下，这个全局收敛和的收敛速度是所提出算法被证明的最糟糕的情况。一个初始的数值结果表明提出方法的有效性。-ADMM method for solving linear constrained convex optimization problem is effective. In this paper, we propose a near linear algorithm, homotopy method used to solve the problem of sub-point of each iteration. Under appropriate conditions, the global convergence and convergence rate is the worst case of the proposed algorithm is proved. The numerical results show that an initial validity of the proposed method. Platform: |
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Author:akd |
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Description: Hermes算法
随着越来越多可连接的嵌入式设备，大量在网络上的资源，以云计算的形式，变得更容易获得。这些设备要么遭受严格电池使用限制，或有限的处理能力，像传感器，不能够本地运行计算复杂型任务。利用远程资源，更高效的应用程序，需要大量的数据处理和计算才可以及时实现可接受的性能。因此计算卸载 -将发送计算密集型任务给资源更丰富的服务设备。是一种潜在的处理本地资源，和缩短处理时间的方式。-With mobile devices increasingly able to connect
to cloud servers anywhere, resource-constrained devices
can potentially perform offloading of computational tasks to
either improve resource usage or improve performance. It is of
interest to find optimal assignments of tasks to local and remote
devices that can take into account the application-specific profile,
availability of computational resources, and link connectivity,
and find a balance between energy consumption costs of mobile
devices and latency for delay-sensitive applications. Given an
application described by a task dependency graph, we formulate
an optimization problem to minimize the latency while meeting
prescribed resource utilization constraints. Different most of
existing works that either rely on an integer linear programming
which is is NP-hard
NP-hard and
and not
is applicable
not applicable
to general
formulation, which
to general
task
task dependency
for latency
metrics,
on intuitively
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Author:安云初 |
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Description: BSVM解决了支持向量机（SVM），用于解决大型分类和回归问题。 它包括以下方法
一个对一个使用约束约束公式的多类分类
通过解决单一优化问题（再次，有界公式）进行多类分类。 参见我们比较文件的第3节。
使用Crammer和Singer的配方进行多级分类。 参见我们的比较文章第4节。
使用约束约束公式的回归-BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes the following methods
One vs. One multi-class classification using a bound-constrained formulation
Multi-class classification by solving a single optimization problem (again, a bounded formulation). See Section 3 of our comparison paper.
Multi-class classification using Crammer and Singer s formulation. See Section 4 of our comparison paper.
Regression using a bound-constrained formulation
Multi-class classification using Crammer and Singer s formulation with squared hinge (L2) loss Platform: |
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Author:程 |
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Description: 使用混沌优化算法求解非约束问题极值,混沌算法具有遍历性、随机性和规律性(Using chaos optimization algorithm to solve the extreme value of non-constrained problem, chaos algorithm has ergodicity, randomness and regularity) Platform: |
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Author:lowell
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Description: Mathematically, these types of problems are defined as
constrained multiobjective optimization problems (CMOPs).
Traditional mathematical approaches Platform: |
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Author:fatygr
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Description: Mathematically, these types of problems are defined as
constrained multiobjective optimization problems (CMOPs). Platform: |
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Author:fatygr
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Description: 该2017版软件集成了竞赛争冠系列算法（含单目标寻优、多峰函数寻优、参数估计（拟合）等）和多种差分向量型式的差分进化算法。可对数学函数进行有或无约束优化、多峰函数优化等工作。其中改进竞赛争冠算法是近期本人的研究佳作。与现行优良的进化算法相比，颇具竞争力。(The 2017 version of the software integrates the series of race champion algorithm (including single objective optimization, multi-modal function optimization, parameter estimation (fitting) etc.) and the various types of differential evolution algorithm.It could be optimized that the single objective function with unconstrained or constrained condition or multi peak function. Especially, the improved race champion algorithm is my Good research results. Compared with the existing evolutionary algorithm is quite competitive) Platform: |
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Author:xufs
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Description: 给出了约束因子的扩展模型、带约束因子变密度法的改进数学模型以及带约束因子变密度优化设计的求解过程和应用流程图,并用MATLAB程序实现该算法。通过一个算例计算给出了求解运算和数据分析结果,验证了该方法求解的可行性与有效性。(The extended model of constraint factors, the improved mathematical model of the constrained variable density method and the solving process and application flow chart of constrained variable density optimization design are given, and the algorithm is implemented by MATLAB program. The results of the calculation and data analysis are given by an example, and the feasibility and effectiveness of the method are verified.) Platform: |
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Author:1940659732@qq.com
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Description: DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP). DEPSO combines the advantages of Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is incorporated into cooperative group optimization (CGO) system. It has been incorporated into the NLPSolver extension (developed by Sun Microsystems Inc) of Calc in Apache OpenOffice Platform: |
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Author:Sylvere |
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Description: Abstract:
This paper presents a new control strategy to optimize the fuel economy of parallel configured charge sustained hybrid electric vehicles. This new approach is a constrained engine on-off strategy, which has been developed from the two extreme control strategies of maximum SOC and engine on-off, by taking their advantages and overcoming their disadvantages. A system optimization program using dynamic programming algorithm has been developed to calibrate the control parameters used in the developed control strategy, so that its performance can be as close to the optimal solution as possible. For this paper, a passenger car is simulated on a typical highway driving cycle to illustrate the strategy. The methodology developed can be used on other types of vehicles operating in different environments, such as cities, suburban areas, and their combinations. Platform: |
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Author:Try Wahyudi |
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Description: 单输入单输出有约束的模型预测控制算法，阶跃响应动态矩阵预测模型，优化算法采用有效集法求二次规划问题(Single input and single output constrained model predictive control algorithm, step response dynamic matrix prediction model, optimization algorithm using effective set method to solve the two time programming problem) Platform: |
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Author:leafrise |
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Description: MMA移动渐近线 拓扑优化 多约束非线性优化问题,可用于拓扑优化计算学习(MMA mobile asymptote topological optimization multi-constrained nonlinear optimization problem can be used for topological optimization calculation learning) Platform: |
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Author:ice0 |
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Description: matlab是一种编程软件，也称矩阵实验室. 在数值计算方面做出了很大的贡献. 多目标优化问题是最优化领域中的一种优化方法，得出的解是折衷解. 多目标优化问题可以分为约束多目标优化问题和无约束多目标优化.在实际生活中，有很多问题都可以被视为多目标优化问题，如旅行商问题、工程问题，证券投资问题等，然而采用matlab编程软件具有很好的求解展示效果.(Matlab is a programming software, also known as a matrix laboratory. It has made great contributions in numerical calculations. Multi-objective optimization problems are an optimization method in the field of optimization, and the solutions obtained are compromise solutions. Optimization problems can be divided into constrained multi-objective optimization problems and unconstrained multi-objective optimization problems. In real life, many problems can be considered as multi-objective optimization problems, such as traveling salesman problem, engineering problem, securities investment problem, etc. The matlab programming software has a good solution display effect.) Platform: |
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Author:hjing |
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Description: 带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems) Platform: |
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Author:Ricardo1 |
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Description: 粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.) Platform: |
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Author:银河系苏小青 |
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Search - constrained optimization