scholarly journals METHODS OF FORMULATING AND SOLVING OPTIMIZATION PROBLEMS OF CUTTING LOGS OF LARGE SIZE BY BAR-SAWING METHOD WITH CUTTING OUT ONE BAR AND FIVE PAIRS OF SIDE EDGING BOARDS WITH SUBSEQUENT SAWING LUMBER FOR EDGED BOARDS

2017 ◽  
Vol 7 (1) ◽  
pp. 137-150
Author(s):  
Агапов ◽  
Aleksandr Agapov
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Target Function ◽  
Cross Sectional ◽  
Optimization Task ◽  
Cutting Out ◽  
The Mathematical Model ◽  
The Relationship

For the first time the mathematical model of task optimization for this scheme of cutting logs, including the objective function and six equations of connection. The article discusses Pythagorean area of the logs. Therefore, the target function is represented as the sum of the cross-sectional areas of edging boards. Equation of the relationship represents the relationship of the diameter of the logs in the vertex end with the size of the resulting edging boards. This relationship is described through the use of the Pythagorean Theorem. Such a representation of the mathematical model of optimization task is considered a classic one. However, the solution of this mathematical model by the classic method is proved to be problematic. For the solution of the mathematical model we used the method of Lagrange multipliers. Solution algorithm to determine the optimal dimensions of the beams and side edging boards taking into account the width of cut is suggested. Using a numerical method, optimal dimensions of the beams and planks are determined, in which the objective function takes the maximum value. It turned out that with the increase of the width of the cut, thickness of the beam increases and the dimensions of the side edging boards reduce. Dimensions of the extreme side planks to increase the width of cut is reduced to a greater extent than the side boards, which are located closer to the center of the log. The algorithm for solving the optimization problem is recommended to use for calculation and preparation of sawing schedule in the design and operation of sawmill lines for timber production. When using the proposed algorithm for solving the optimization problem the output of lumber can be increased to 3-5 %.

Metodika postanovki i resheniya zadachi optimizacii raskroya pilovochnika krupnih razmerov s vipilivaniem dvuh brusev i chetireh par bokovih obreznih dosok s uchetom shirini propila

2016 ◽  
Author(s):  
А.И. Агапов
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Classical Method ◽  
Optimal Size ◽  
Cross Sectional ◽  
Reduced Dimensions ◽  
Method Of Lagrange Multipliers ◽  
The Mathematical Model

Предложена математическая модель задачи оптимизации для такой схемы раскроя пиловочника, включая целевую функцию и уравнения связи. В статье рассматривается пифагорическая зона пиловочника. Поэтому целевая функция представлена в виде суммы площадей поперечных сечений обрезных досок. Уравнения связи представлены в виде уравнений, в которых установлена взаимосвязь диаметра пиловочника в вершинном торце с размерами получаемых обрезных досок. Эта взаимосвязь описывается на основе использования теоремы Пифагора. Такое представление математической модели задачи оптимизации вполне логично. Однако решение такой математической модели классическим методом оказалось проблематичным. Для решения математической модели использовался метод множителей Лагранжа. Предложен алгоритм решения задачи для определения оптимальных размеров брусьев и боковых обрезных досок с учетом ширины пропила. Используя численный метод, определены оптимальные размеры брусьев и досок, при которых целевая функция принимает максимальное значение. Оказалось, что с увеличением ширины пропила толщина брусьев возрастает, а размеры боковых обрезных досок уменьшаются. Размеры крайних боковых досок с увеличением ширины пропила уменьшаются в большей степени, чем боковые доски, которые расположены ближе к центру бревна. Алгоритм решения задачи оптимизации рекомендуется использовать для расчета и составления поставов при проектировании и эксплуатации лесопильных линий по производству пиломатериалов. При использовании предлагаемого алгоритма решения задачи оптимизации выход пиломатериалов повышается на 3-5%. For the first time made up a mathematical model of optimization problems for this scheme cutting logs, including the objective function and constraint equations. The article discusses pifagoricheskaya zone logs. Therefore, the objective function is represented as the sum of the cross sectional area of ​​edging boards Equations communication presented in the form of equations, in which the interrelation diameter logs in the vertex end with the size of the edging boards. This relationship is described based on the use of the Pythagorean theorem. This representation of a mathematical model of the optimization problem is quite logical. However, the solution to this mathematical model of the classical method proved problematic. In order to solve the mathematical model of the method of Lagrange multipliers. An algorithm for solving the problem to determine the optimal size of the boards and the side edging boards considering cutting width. Using a numerical method for the optimum size of beams and boards, in which the objective function takes the maximum value. It was found that with an increase in the thickness of the boards of the kerf increases and the size of the lateral edging boards are reduced. Dimensions outer sideboards with increasing kerf reduced to a greater extent than the side boards, which are located closer to the center of the log. An algorithm for solving the optimization problem it is recommended to use for calculation and put in the design and operation of the saw lines for the production of lumber. When using the proposed algorithm for solving the optimization problem lumber output increases by 3-5 percent.

Effect of cutting width on the optimum size of bars and boards when cutting sawlogs with sawing three bars of equal thickness and four pairs of side boards

10.12737/4517 ◽  
2014 ◽  
Vol 4 (2) ◽  
pp. 128-135 ◽  
Author(s):  
Агапов ◽  
Aleksandr Agapov
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Optimality Criterion ◽  
Constraint Equations ◽  
First Pass ◽  
Method Of Lagrange Multipliers ◽  
Relationship Of ◽  
The Mathematical Model ◽  
The Relationship ◽  
Equal Thickness

There is a task of cutting optimization of sawlogs considering the width of cut. Output of sawn timber produced after the first pass of cutting sawlogs is chosen as optimality criterion. The objective function is represented as the sum of the cross-section of bars and planks. Such a mathematical model of the objective function establishes a relationship between size of bars and planks. Constraint equations represent the relationship of sawlogs diameter with the size of bars and boards, as well as the width of the cut. To solve the mathematical model the method of Lagrange multipliers is used.

A PENALTY METHOD FOR SOLVING BILEVEL LINEAR FRACTIONAL/LINEAR PROGRAMMING PROBLEMS

2004 ◽  
Vol 21 (02) ◽  
pp. 207-224 ◽  
Author(s):  
HERMINIA I. CALVETE ◽  
CARMEN GALÉ
Keyword(s):  
Linear Programming ◽  
Objective Function ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Optimization Approach ◽  
Fractional Linear Programming ◽  
Linear Programming Problems ◽  
Level Problem ◽  
The Relationship ◽  
Planning Problems

Bilevel programming involves two optimization problems where the constraint region of the first-level problem is implicitly determined by another optimization problem. This model has been applied to decentralized planning problems involving a decision process with a hierarchical structure. In this paper, we consider the bilevel linear fractional/linear programming problem, in which the objective function of the first-level is linear fractional, the objective function of the second level is linear, and the common constraint region is a polyhedron. For this problem, taking into account the relationship between the optimization problem of the second level and its dual, a global optimization approach is proposed that uses an exact penalty function based on the duality gap of the second-level problem.

scholarly journals Mechanics of Design and Model Development of CVC-Plus Roll Curve

2011 ◽  
Vol 418-420 ◽  
pp. 1158-1166
Author(s):  
Jian Zhong Xu ◽  
Dian Yao Gong ◽  
Zheng Yi Jiang ◽  
Xiang Hua Liu ◽  
Guo Dong Wang
Keyword(s):  
Mathematical Model ◽  
Theoretical Analysis ◽  
Axial Force ◽  
Model Development ◽  
Target Function ◽  
Mathematic Model ◽  
Work Roll ◽  
The Times ◽  
The Mathematical Model ◽  
The Relationship

The mathematic model of CVC-Plus work roll curve is built. The ratio of the initial shifting value to the target crown is determined, and the mathematical model considering the relationship between the coefficients A2, A3, A4, A5 and is established. According to the theoretical analysis, the distance between the maximum or minimum point of the high order equivalent crown for work roll with CVC-plus roll curve and the rolling central point is the times of the roll barrel length. In general, the initial shifting value of the CVC-plus roll curve is not equal to the initial shifting value of the 3-order CVC roll curve . The coefficient A1 can also be obtained by optimizing the target function with minimizing the axial force.

scholarly journals An Alternative Approach for Nonlinear Optimization Problem with Caputo - Fabrizio Derivative

2018 ◽  
Vol 22 ◽  
pp. 01009 ◽  
Author(s):  
Fırat Evirgen ◽  
Mehmet Yavuz
Keyword(s):  
Mathematical Model ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Variational Iteration Method ◽  
Test Problems ◽  
Optimal Solutions ◽  
Constrained Optimization Problems ◽  
Alternative Approach ◽  
Equality Constrained Optimization ◽  
The Mathematical Model

In this study, a fractional mathematical model with steepest descent direction is proposed to find optimal solutions for a class of nonlinear programming problem. In this sense, Caputo-Fabrizio derivative is adapted to the mathematical model. To demonstrate the solution trajectory of the mathematical model, we use the multistage variational iteration method (MVIM). Numerical simulations and comparisons on some test problems show that the mathematical model generated using Caputo-Fabrizio fractional derivative is both feasible and efficient to find optimal solutions for a certain class of equality constrained optimization problems.

Temperature Influence on Performance of Oxidation Ponds

1991 ◽  
Vol 24 (5) ◽  
pp. 85-96 ◽  
Author(s):  
Qingliang Zhao ◽  
Zijie Zhang
Keyword(s):  
Mathematical Model ◽  
Temperature Influence ◽  
Field Scale ◽  
Experiment Data ◽  
Computer Technique ◽  
Oxidation Pond ◽  
Optimum Model ◽  
Oxidation Ponds ◽  
The Mathematical Model ◽  
The Relationship

By means of simulated tests of a laboratory–scale oxidation pond model, the relationship between BOD5 and temperature fluctuation was researched. Mathematical modelling for the pond's performance and K1determination were systematically described. The calculation of T–K1–CeCe/Ci) was complex but the problem was solved by utilizing computer technique in the paper, and the mathematical model which could best simulate experiment data was developed. On the basis of experiment results,the concept of plug–ratio–coefficient is also presented. Finally the optimum model recommended here was verified with the field–scale pond data.

Optimization Research on Dynamic Balance of Spatial Engine under Limiting Shaking Moment

2009 ◽  
Vol 626-627 ◽  
pp. 693-698
Author(s):  
Yong Yong Zhu ◽  
S.Y. Gao
Keyword(s):  
Mathematical Model ◽  
Objective Function ◽  
Kinetic Analysis ◽  
Optimization Design ◽  
Design Method ◽  
Dynamic Balance ◽  
Optimized Design ◽  
Design Variables ◽  
The Mathematical Model ◽  
Shaking Moment

Dynamic balance of the spatial engine is researched. By considering the special wobble-plate engine as the model of spatial RRSSC linkages, design variables on the engine structure are confirmed based on the configuration characters and kinetic analysis of wobble-plate engine. In order to control the vibration of the engine frame and to decrease noise caused by the spatial engine, objective function is choosed as the dimensionless combinations of the various shaking forces and moments, the restriction condition of which presents limiting the percent of shaking moment. Then the optimization design is investigated by the mathematical model for dynamic balance. By use of the optimization design method to a type of wobble-plate engine, the optimization process as an example is demonstrated, it shows that the optimized design method benefits to control vibration and noise on the engines and improve the performance practically and theoretically.

scholarly journals Introducing a Conditional Ghost Correction Into the Vector Method

1984 ◽  
Vol 6 (2) ◽  
pp. 117-123 ◽  
Author(s):  
H. Schaeben
Keyword(s):  
Mathematical Model ◽  
Quadratic Programming ◽  
Optimization Problem ◽  
Linear Equations ◽  
Singular System ◽  
Orientation Distribution ◽  
Mathematical Approach ◽  
System Of Linear Equations ◽  
Vector Method ◽  
The Mathematical Model

The concept of conditional ghost correction is introduced into the vector method of quantitative texture analysis. The mathematical model actually chosen here reduces the texture problem to one of quadratic programming. Thus, a well defined optimization problem has to be solved, the singular system of linear equations governing the correspondence between pole and orientation distribution being reduced to a set of equality constraints of the restated texture problem. This new mathematical approach in terms of the vector method reveals the modeling character of the solution of the texture problem provided by the vector method completely.

Walking Stability Analysis of Multi-Legged Crablike Robot over Slope

2013 ◽  
Vol 572 ◽  
pp. 636-639
Author(s):  
Xi Chen ◽  
Gang Wang
Keyword(s):  
Mathematical Model ◽  
Stability Analysis ◽  
Stability Criterion ◽  
Stability Margin ◽  
Static Stability ◽  
Matlab Simulation ◽  
And Performance ◽  
The Stability ◽  
The Mathematical Model ◽  
The Relationship

This paper deals with the walking stability analysis of a multi-legged crablike robot over slope using normalized energy stability margin (NESM) method in order to develop a common stabilization description method and achieve robust locomotion for the robot over rough terrains. The robot is simplified with its static stability being described by NESM. The mathematical model of static stability margin is built so as to carry out the simulation of walking stability over slope for the crablike robot that walks in double tetrapod gait. As a consequence, the relationship between stability margin and the height of the robots centroid, as well as its inclination relative to the ground is calculated by the stability criterion. The success and performance of the stability criterion proposed is verified through MATLAB simulation and real-world experiments using multi-legged crablike robot.

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