PLC programming languages have limited support for algorithms, mainly relying on loops, conditional statements, and function calls as the basic control structures. However, loops and conditional ...

and may require combining algorithms for LP and IP problems. Quadratic programming (QP) is a type of LP problem where the objective function is quadratic and the constraints are linear.

The research of L-algorithm is becoming more and more mature [5] [6]. Generally, in the study of the stochastic programming with recourse, the second stage function with recourse is determined by the ...

The efficiency of our proposed algorithm has been shown by the results of some numerical experiments. Many real world problems can be formulated in mathematical programming problems, i.e., problems in ...

Unfortunately there has been less success in developing good languages for programming parallel algorithms, particularly languages that are well suited for teaching and prototyping algorithms. There ...

We will first explore algorithms for solving the CNF Satisfiability problem. Let's recall this problem below. $$ \underset{C_1}{\underbrace{(x_1\ \bor\ x_2\ \bor ...

In this paper we propose a method for approximately solving convex multiplicative programming problems. This work is based on our previous work “An approximation algorithm for convex multiobjective ...

On the basis of the algorithm, this paper presents a function mining algorithm for remote-sensing data by using gene expression programming and rough sets (FMRS-ARGEP). In FMRS-ARGEP, a dynamic ...