Review Paper on Real Life Applications of Linear programming in Optimization of household energyThere are various techniques that result in energy savings in a building or house, each having a special cost of function and different cost. Our main aim with Linear Programming methodology is to ...
In conclusion, linear algebra has a number of applications in real life including Image compression, Markov chains, Estimating page relevance for search engines, Computer graphics, Machine learning, Least squares fitting in statistics, and linear programming. The particular problem solved in the paper ...
Linear programming is a method for solving complex, real-life business problems, using the power of mathematics. Organizations have been applying this method for 50+ years, across nearly all industries, to optimize operational efficiency—to get the most value from their limited resources. For examp...
In real-life, fuzzy stochastic linear programming arises in several situations. The parameters of linear programs such as the right-hand-sides (RHSs) and coefficients of the objective and constraints could be fuzzy random variables due to the fact that they depend on many factors. Thus, it is...
SPLSs are a special kind of switched systems, and have wide applications in actual life, such as medical treatment [20], networks employing TCP [21], and formation flying [22], etc. Linear co-positive Lyapunov function combined with linear programming (LP) approach has been shown to be ...
However, it is not always easy to get and apply this parameter information in real-world optimization applications. The rough set theory developed by Pawlak [26] is an alternate approach to solve this issue. No additional data-related information is needed while using the rough set theory, so...
Linear-fractional programming : theory, methods, applications, and software | Clc 被引量: 0发表: 0年 Plant location with minimum inventory We present an integer programming model for plant location with inventory costs. The linear programming relaxation has been solved by Dantzig-Wolfe decompo......
After replacing w in RMCLP model with w = N ∑βiφ ( xi ) , i =1 we upgrade the original RMLCP model into tackling the non-linear classification problems. Experimental results on both synthetic and real-life datasets show that our model is effective in classifying non-linear datasets. ...
This study collected 331,622 URLs, which only present an ordinary volume in real applications. However, it is very challenging for many existing algorithms. 4. Challenges in malicious URLs detection and proposed space transformation methods 4.1. Challenges in malicious URLs detection An assumption of...
This paper aims at presenting new methods for solving Pareto equilibrium of multi-objective linear programming game models. This class of game models has a vast applications in supply chain management. For example, consider a multi-level supply chain network with uncertain costs in which the manufac...