A Genetic Algorithm Based Optimization for Laminated Dies Manufacturing

2010 ◽  
Author(s):  
Hossein Ahari ◽  
Amir Khajepour ◽  
Sanjeev Bedi
Keyword(s):  
Genetic Algorithms ◽  
Processing Time ◽  
Optimization Problem ◽  
New Technologies ◽  
Cnc Machining ◽  
Manufacturing Cost ◽  
Local Optimum ◽  
Reliable Solution ◽  
Niching Method

Laminated tooling is one of the new technologies which helps companies to manufacture parts with lower costs and higher accuracy. It is base on dividing entire CAD model of the part to slices and then cutting each layer profile utilizing laser cut or other techniques. Finally the layers are stacked together to make the final product. CNC machining removes the extra material and brings the part to the specific tolerances. In order to minimize the manufacturing cost, one option is reduction in the amount of the extra material and the number of slices likewise. This is considered as an optimization problem in this research. Then a genetic algorithms (G.A.) based method is offered to solve this optimization problem. However, as a common problem in most instances of genetic algorithms, premature convergence prevents system to continue searching for a more reliable solution after finding a local optimum. To address this problem, a novel niching method is presented in this paper. Results show a significant improvement in the quality of the solution as well as a considerable reduction in processing time.

scholarly journals Utilizing Model Knowledge for Design Developed Genetic Algorithm to Solving Problem

2018 ◽  
Vol 3 (2) ◽  
pp. 172
Author(s):  
Hamidreza Salmani mojaveri
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Parallel Machines ◽  
Job Shop ◽  
Optimization Problems ◽  
Premature Convergence ◽  
Local Optimum ◽  
Scheduling Problems ◽  
Algorithm Implementation

One of the discussed topics in scheduling problems is Dynamic Flexible Job Shop with Parallel Machines (FDJSPM). Surveys show that this problem because of its concave and nonlinear nature usually has several local optimums. Some of the scheduling problems researchers think that genetic algorithms (GA) are appropriate approach to solve optimization problems of this kind. But researches show that one of the disadvantages of classical genetic algorithms is premature convergence and the probability of trap into the local optimum. Considering these facts, in present research, represented a developed genetic algorithm that its controlling parameters change during algorithm implementation and optimization process. This approach decreases the probability of premature convergence and trap into the local optimum. The several experiments were done show that the priority of proposed procedure of solving in field of the quality of obtained solution and convergence speed toward other present procedure.

scholarly journals Genetic algorithms - variable size populations of chromosomes. An adaptive approach

2018 ◽  
Vol XIX (1) ◽  
pp. 393-399
Author(s):  
Maniu R
Keyword(s):  
Genetic Algorithms ◽  
Negative Impact ◽  
Large Population ◽  
Search Space ◽  
Global Optimum ◽  
Small Population ◽  
Local Optimum ◽  
Variable Size ◽  
Algorithm Operation

The size of the chromosome population is an essential parameter of genetic algorithms. A large population involves a large amount of calculations but provides a complete scroll of the search space and the increased probability of generating a global optimum. A small population size, through the small number of operations required, causes a quick run of the algorithm, with increasing the probability of detecting a local optimum to the detriment of the global one. This paper proposes the use of an adaptive, variable size of chromosome population. We will demonstrate that this approach leads to an acceleration of the algorithm operation, without having a negative impact on the quality of provided solutions.

Research on the Application of College Automated Course Scheduling System Based on Genetic Algorithm

2013 ◽  
Vol 760-762 ◽  
pp. 1782-1785
Author(s):  
Xiu Ying Li ◽  
Dong Ju Du
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Teaching Quality ◽  
Combinatorial Optimization Problem ◽  
Scheduling System ◽  
Course Scheduling ◽  
Strong Ability

A reasonable curriculum contributes to the improvement of the training and teaching quality of college students. Using computer which is speed and strong ability to arrange curriculum automatically is imperative. Automatically curriculum arrangement is a constrained, multi-objective and intricate combinatorial optimization problem. Based on genetic algorithm of population search, it is suitable to process complex and nonlinear optimization problems which it difficult to solve for traditional search methods. In this paper solves complex automated course scheduling using genetic algorithms.

scholarly journals OPTIMIZATION OF SEGMENTATION QUALITY OF INTEGRATED CIRCUIT IMAGES / INTEGRINIŲ GRANDYNŲ VAIZDŲ SEGMENTAVIMO KOKYBĖS OPTIMIZAVIMAS

2012 ◽  
Vol 4 (1) ◽  
pp. 5-8
Author(s):  
Gintautas Mušketas
Keyword(s):  
Genetic Algorithms ◽  
Image Segmentation ◽  
Integrated Circuit ◽  
Optimization Problem ◽  
Active Regions ◽  
Genetic Optimization ◽  
Segmentation Accuracy ◽  
Segmentation Quality ◽  
Sequence Parameters

The paper presents investigation into the application of genetic algorithms for the segmentation of the active regions of integrated circuit images. This article is dedicated to a theoretical examination of the applied methods (morphological dilation, erosion, hit-and-miss, threshold) and describes genetic algorithms, image segmentation as optimization problem. The genetic optimization of the predefined filter sequence parameters is carried out. Improvement to segmentation accuracy using a non optimized filter sequence makes 6%. Santrauka Nagrinėjamas genetinių algoritmų taikymas integrinių grandynų aktyviųjų sričių vaizdams segmentuoti. Teoriškai aprašomi taikomi segmentavimo metodai (morfologinis plėtimas, erozija, pataikymo-nepataikymo transformacija, slenksčio funkcija), genetiniai algoritmai. Vaizdo segmentavimas apibrėžiamas kaip optimizavimo problema. Atliekamas eksperimentiškai parinktos filtrų sekos parametrų optimizavimas ir parodoma, kad optimizuota filtrų seka gaunami 6 % geresni rezultatai.

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

INFLUENCE OF FORCED CONVECTION IN LIQUID INSIDE THE TIN ON DURATION OF STERILIZATION IN THE COURSE OF FISH PROCESSING

2017 ◽  
pp. 137-144
Author(s):  
Gennadiy Valentinovich Alexeev ◽  
Elena Igorevna Verboloz
Keyword(s):  
High Temperature ◽  
Liquid Phase ◽  
Forced Convection ◽  
Thermal Process ◽  
Processing Time ◽  
Fish Processing ◽  
Study Results ◽  
Equipment Modernization ◽  
Bottom To Top

The article focuses on the process of intensive mixing of liquid phase in the tin during high-temperature sterilization, i.e. sterilization when temperature of the heat carrier reaches 150-160°C. It has been stated that for intensification of the thermal process during sterilization of tinned fish with liquid filling it is preferable to turn a tin from bottom to top. This operation helps to increase the driving power of the process and to shorten warming time. Besides, high-temperature sterilization carried out according to experimental modes, where the number of tin turnovers is calculated, greatly shortens processing time and improves quality of the product. In this case there is no superheating, all tins are evenly heated. The study results will contribute to equipment modernization and to preserving valuable food qualities.

The implementation of test control methods for the improvement of the quality content of high education in medical higher educational institution

2018 ◽  
Vol 22 (2) ◽  
pp. 357-360
Author(s):  
S. A. Kolodii ◽  
Yu. V. Kordon ◽  
O. A. Nazarchuk ◽  
N.I. Osadchuk
Keyword(s):  
New Technologies ◽  
Educational Institution ◽  
Scientific Information ◽  
Cognitive Activity ◽  
Pedagogical Training ◽  
Highly Skilled ◽  
Medical University ◽  
Independent Work ◽  
Test Control

The integration of Ukrainian system of Higher education into the European one accompanies by a transformation processes. The main goal of Higher school in our country is to prepare competitive specialists. The pedagogues of medical universities implement modern educational technologies with the use of analytically-searching work and scientific information. The implementation of new technologies of teaching is the important task of modernization of pedagogical system of mastering highly skilled specialists. The aim — to ground the implementation of test control for the estimation of quality of knowledge of future doctors. Gaining knowledge in microbiology is very necessary for future doctors to understand the principals of diagnostics and struggling infectious diseases. Knowledge in microbiology is basis for better understanding of clinical disciplines, as it assists logical perception of clinical data, influences on the forming clinical thought without which it is impossible to become a highly skilled specialist. The implementation of modern methods of studies, control, providing the increase of creative activity of students, forming and developing in them professional thought is one of the effective way of the improvement of quality of pedagogical training of highly skilled doctors. The experience of applying of the test control of knowledge in students in the medical university at classes of Microbiology, Virology and Immunology has been presented in the manuscript. The use of different types of test control has been proved to be one of the effective methods for determining the level of knowledge among students. Test control promotes the activation of cognitive activity, forms students’ skills of independent work, develops their logical thinking. Test control of obtained knowledge should be used in conjunction with other methods of studying the subject. The analysis of the results of the writing of the KROK-1 qualification exam by the students of the stomatological department has been conducted. The use of different methods of estimation of control of knowledge is necessary for its improvement. The study of microbiology is the important base of forming fundamental knowledge in students. Therefore, test control in a complex with other pedagogical methods can be used as one of the important and optimal methods to improve estimation of the basic level of students’ knowledge.

Comparative analysis of intelligent planning methods

2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Mobile Robots ◽  
Sensory Information ◽  
Working Environment ◽  
Planning Methods ◽  
Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

scholarly journals Geometric Measurements on a CNC Machining Device as an Element of Closed Door Technology

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4852
Author(s):  
Grzegorz Bomba ◽  
Artur Ornat ◽  
Piotr Gierlak
Keyword(s):  
Measurement System ◽  
Measurement Process ◽  
Cnc Machining ◽  
Measuring System ◽  
Cnc Machine ◽  
Statistical Process ◽  
Working Space ◽  
Closed Door ◽  
Accuracy And Repeatability

The article discusses the quality testing of a measuring system consisting of a CNC machine with measuring probes. The research was conducted in a broader context regarding the implementation of the closed door technology, i.e., production without human intervention, in an aviation plant manufacturing aircraft gearbox systems. This technology may involve automated measuring operations performed in machining centers, and not in measuring laboratories, provided that the quality of the measurements is appropriate. The aim of the study was to investigate whether the CNC machining device can be used to measure the geometric features of aircraft gearbox housing. For this purpose, measurement experiments were carried out with the use of three different probes. Measurements were carried out using four sequences of increasing complexity, so that, after error analysis, it was possible to find the causes of possible irregularities. A reference ring with known dimensions and position in the working space of the machine was used for the measurements performed as part of the assessment of the measurement system. The quality of the measurements was evaluated with the use of repeatability and reproducibility testing and statistical process control. The analysis results showed that the tested measurement system ensures adequate accuracy and repeatability, and the measurement process is characterized with adequate efficiency in relation to the manufacturing tolerance of the components produced using the machine. Thus, it was proven that the measurement process can be carried out on a machining device, which enables its integration into the closed door technology.

scholarly journals ECOCAPTURE@HOME: Protocol for the Remote Assessment of Apathy and Its Everyday-Life Consequences

2021 ◽  
Vol 18 (15) ◽  
pp. 7824
Author(s):  
Valérie Godefroy ◽  
Richard Levy ◽  
Arabella Bouzigues ◽  
Armelle Rametti-Lacroux ◽  
Raffaella Migliaccio ◽  
...  
Keyword(s):  
Everyday Life ◽  
New Technologies ◽  
Electrodermal Activity ◽  
Real Life ◽  
Smartphone Application ◽  
Measurement Model ◽  
Strong Impact ◽  
Active Data ◽  
Personalised Treatment

Apathy, a common neuropsychiatric symptom associated with dementia, has a strong impact on patients’ and caregivers’ quality of life. However, it is still poorly understood and hard to define. The main objective of the ECOCAPTURE programme is to define a behavioural signature of apathy using an ecological approach. Within this program, ECOCAPTURE@HOME is an observational study which aims to validate a method based on new technologies for the remote monitoring of apathy in real life. For this study, we plan to recruit 60 couples: 20 patient-caregiver dyads in which patients suffer from behavioral variant Fronto-Temporal Dementia, 20 patient-caregiver dyads in which patients suffer from Alzheimer Disease and 20 healthy control couples. These dyads will be followed for 28 consecutive days via multi-sensor bracelets collecting passive data (acceleration, electrodermal activity, blood volume pulse). Active data will also be collected by questionnaires on a smartphone application. Using a pool of metrics extracted from these passive and active data, we will validate a measurement model for three behavioural markers of apathy (i.e., daytime activity, quality of sleep, and emotional arousal). The final purpose is to facilitate the follow-up and precise diagnosis of apathy, towards a personalised treatment of this condition within everyday life.

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