Stochastic integer programmingMachine learningHeuristicWe propose a novel approach using supervised learning to obtain near-optimal primal solutions for two-stage stochastic integer programming (2SIP) problems with constraints in the first and second stages. The goal of the algorithm is to predict a ...
\begin{aligned}b_1 & =\text { ALGORITHM } 1\left(B, T, 1, b_0, c_0\right) \\& =\frac{B-\min \left\{C b_0, M\right\}}{\min \left\{C b_0, M\right\} T} \cdot b_0 \\& =\frac{B-C b_0}{c T}\end{aligned} \begin{aligned}b_2 & =\text { AlgorithM }...
function [bestvalue,worstvalue,averagevalue,std_k]=TLBO(K,NP,D,itermax,minbound,maxbound) %% k次试验 for k=1:K class=zeros(NP,D+1);%班级,最后一列是各学员的适应度 %% 种群初始化,并计算出是种群的个体适应度值 for i=1:NP class(i,1:D)=minbound+rand(1,D).*(maxbound-minbound);...
(ILP) framework for the OAMRP that considers three main maintenance constraints simultaneously: maximum flying-hour, limit on the number of take-offs between two consecutive maintenance checks and the work-force capacity. Second, to develop a new reinforcement learning-based algorithm which can be ...
[141–144]. The learning function is inferred from the data, with the form of the function limited only by the assumptions made by the learning algorithm. Although feature engineering can be complex, the ability to process and learn from large document corpora greatly reduces the need to ...
Cardiovascular risk prediction is one of the fields that improved risk prediction algorithm can benefit the largest population at risk. Conventional cardiovascular risk calculators are basically based on logistic regression. In this study, we tested multiple ML models and sought to evaluate how much the...
Integration of deep learning-based SOC algorithm into a Simulink model Generating optimized, production ready code with Embedded Coder Deploying code to an NXP S32K3 microcontroller using the NXP Model-Based Design Toolbox About the Presenters ...
Based on the step-segmentation algorithm introduced in Section III-B, the collected gait data can be annotated into steps. Following the findings that two-step data have a good performance in gait recognition [7], we collected gait samples by dividing the gait curve into two continuous steps....
Sajadi, S., Fathi, A.: Genetic algorithm based local and global spectral features extraction for ear recognition. Expert Syst. Appl. 159, 113639 (2020) Article Google Scholar Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Procee...
二进制空间可被视作超立方体的壳。The agents of the binary optimization algorithm can only pass from a near nook to the furthest area in thehypercubeby changing several bits. 传递函数(TF)表示将解中元素从1更改为0的概率。这些函数在二进制空间中引导运动。 我们将它们分成两组:S-shape和V-Shape型函...