Multimodal Genetic Algorithms for Craniofacial Superimposition

2010 ◽  
pp. 119-143 ◽  
Author(s):  
Óscar Ibáñez ◽  
Oscar Cordón ◽  
Sergio Damas ◽  
José Santamaría
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Real World ◽  
3D Model ◽  
Physical Anthropology ◽  
The Face ◽  
The University

Craniofacial superimposition is a forensic process that aims to identify a missing person by overlaying a photograph and a model of the skull. This process is usually carried out manually by forensic anthropologists, thus being very time consuming and presenting several difficulties when trying to find a good fit between the 3D model of the skull and the 2D photo of the face. This contribution aims to provide both a detailed description of the problem and the proposal of two different designs of a multimodal (clearing) genetic algorithm to tackle it. The new proposals will be tested on superimpositions for different real-world identification cases from the Physical Anthropology lab at the University of Granada in Spain, including positive and negative cases, taking the manual and the basic genetic algorithm solutions as baselines for their quality.

Genetic algorithm synthesis of four-bar mechanisms

1996 ◽  
Vol 10 (5) ◽  
pp. 371-390 ◽  
Author(s):  
Gerald P. Roston ◽  
Robert H. Sturges
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Classical Theory ◽  
Real World ◽  
Design Problem ◽  
Numerical Technique ◽  
Active Area ◽  
Mechanism Synthesis ◽  
Classical Design ◽  
Real World Problems

AbstractThe synthesis of four-bar mechanisms is a well-understood, classical design problem. The original systematic work in this field began in the late 1800s and continues to be an active area of research. Limitations to the classical theory of four-bar synthesis potentially limit its application to certain real-world problems by virtue of the small number of precision points and unspecified order. This paper presents a numerical technique for four-bar mechanism synthesis based on genetic algorithms that removes this limitation by relaxing the accuracy of the precision points.

Scheduling Robotic Actions by Genetic Algorithms

1996 ◽  
Vol 5 (2) ◽  
pp. 191-204
Author(s):  
R. J. Abbott ◽  
M. L. Campbell ◽  
W. C. Krenz
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Real World ◽  
Hybrid Genetic Algorithm ◽  
Two Dimensional ◽  
The Real ◽  
Short Period

A hybrid genetic algorithm is used to schedule tasks for a satellite that can be modeled as a robot whose goal is to retrieve objects from a two-dimensional field. The objective is to find a schedule that maximizes the value of objects retrieved. Typical of the real-world tasks to which this corresponds is the scheduling of ground contacts for a communications satellite. An important feature of our application is that the amount of time available for running the scheduler is not necessarily known in advance. This requires that the scheduler produce reasonably good results after a short period, but that it also continue to improve its results if allowed to run for a longer period. We satisfy this requirement by developing what we call a sustainable genetic algorithm.

Formulation of Colors Using a Genetic Algorithm

2012 ◽  
Vol 17 (4) ◽  
pp. 241-244
Author(s):  
Cezary Draus ◽  
Grzegorz Nowak ◽  
Maciej Nowak ◽  
Marcin Tokarski
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Production Process ◽  
Computer Technology ◽  
Manual Method ◽  
Apply Genetic ◽  
Computer Aided ◽  
Multiple Samples ◽  
Plastics Industry

Abstract The possibility to obtain a desired color of the product and to ensure its repeatability in the production process is highly desired in many industries such as printing, automobile, dyeing, textile, cosmetics or plastics industry. So far, most companies have traditionally used the "manual" method, relying on intuition and experience of a colorist. However, the manual preparation of multiple samples and their correction can be very time consuming and expensive. The computer technology has allowed the development of software to support the process of matching colors. Nowadays, formulation of colors is done with appropriate equipment (colorimeters, spectrophotometers, computers) and dedicated software. Computer-aided formulation is much faster and cheaper than manual formulation, because fewer corrective iterations have to be carried out, to achieve the desired result. Moreover, the colors are analyzed with regard to the metamerism, and the best recipe can be chosen, according to the specific criteria (price, quantity, availability). Optimaization problem of color formulation can be solved in many diferent ways. Authors decided to apply genetic algorithms in this domain.

Machine Learning Accelerated Genetic Algorithms for Computational Materials Search

2018 ◽  
Author(s):  
Steen Lysgaard ◽  
Paul C. Jennings ◽  
Jens Strabo Hummelshøj ◽  
Thomas Bligaard ◽  
Tejs Vegge
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Au Nanoparticles ◽  
Learning Model ◽  
Energy Calculations ◽  
Atomic Distribution ◽  
Machine Learning Model ◽  
Fold Reduction ◽  
Computational Materials

A machine learning model is used as a surrogate fitness evaluator in a genetic algorithm (GA) optimization of the atomic distribution of Pt-Au nanoparticles. The machine learning accelerated genetic algorithm (MLaGA) yields a 50-fold reduction of required energy calculations compared to a traditional GA.

Vignettes

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Real World ◽  
Environmental Sustainability ◽  
National Park ◽  
Public Involvement ◽  
Energy Savings ◽  
Rapid Development ◽  
Environmental Problems ◽  
Persuasive Communications ◽  
For Profit ◽  
The Face

Chapter 9 contains five vignettes, each based on real world cases. In each, a character is faced with a problem and uses multiple theories within the book to help him or her develop and execute a plan of action. The vignettes provide concrete examples of how to apply the theories in the book to solving environmental problems and working toward environmental sustainability in a variety of contexts, including managing visitors in a national park, developing persuasive communications, designing more collaborative public involvement processes, starting up an energy savings program within a for-profit corporation, and promoting conservation in the face of rapid development.

scholarly journals Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 115
Author(s):  
Andriy Chaban ◽  
Marek Lis ◽  
Andrzej Szafraniec ◽  
Radoslaw Jedynak
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Fitness Function ◽  
Least Square ◽  
Distributed Parameter ◽  
Parameter Method ◽  
Analytical Mechanics ◽  
Parameter System ◽  
Rotational Systems ◽  
Elastic Elements

Genetic algorithms are used to parameter identification of the model of oscillatory processes in complicated motion transmission of electric drives containing long elastic shafts as systems of distributed mechanical parameters. Shaft equations are generated on the basis of a modified Hamilton–Ostrogradski principle, which serves as the foundation to analyse the lumped parameter system and distributed parameter system. They serve to compute basic functions of analytical mechanics of velocity continuum and rotational angles of shaft elements. It is demonstrated that the application of the distributed parameter method to multi-mass rotational systems, that contain long elastic elements and complicated control systems, is not always possible. The genetic algorithm is applied to determine the coefficients of approximation the system of Rotational Transmission with Elastic Shaft by equivalent differential equations. The fitness function is determined as least-square error. The obtained results confirm that application of the genetic algorithms allow one to replace the use of a complicated distributed parameter model of mechanical system by a considerably simpler model, and to eliminate sophisticated calculation procedures and identification of boundary conditions for wave motion equations of long elastic elements.

scholarly journals A Geroscience Perspective on COVID-19 – Joint Program from the American Aging Association (AGE) and The Gerontological Society of America

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 532-532
Author(s):  
Rozalyn Anderson
Keyword(s):  
Real World ◽  
Gerontological Society ◽  
Joint Program ◽  
The Face ◽  
Biology Of Aging ◽  
Biology Research ◽  
American Aging ◽  
Aging Association

Abstract Faculty will focus on the biology of aging as a contributor to the vulnerability in COVID-19. Faculty will present the latest concepts and insights that will advance our ability to confront this global outbreak. Our goal for this session is to connect with the concept of Geroscience and how ideas from aging biology research can be incorporated to improve outcomes and informed practice. Although the emphasis is on biology, the goal is to provide insight in a manner that is readily accessible to researchers across the aging spectrum that they might translate these ideas in the face of a very real-world challenge.

scholarly journals COVD-26. TELEPHONE CONSULTATIONS IN NEURO-ONCOLOGY DURING THE COVID-19 PANDEMIC: LEVELS OF PATIENT SATISFACTION AND COMPARISON WITH TRADITIONAL FACE-TO-FACE CONSULTATIONS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii26-ii26
Author(s):  
Emma Toman ◽  
Claire Goddard ◽  
Frederick Berki ◽  
William Garratt ◽  
Teresa Scott ◽  
...  
Keyword(s):  
Patient Satisfaction ◽  
University Hospitals ◽  
Health Crisis ◽  
Patient Satisfaction Questionnaire ◽  
Telephone Consultation ◽  
Exact Test ◽  
Face To Face ◽  
Significant Difference ◽  
The Face ◽  
The University

Abstract INTRODUCTION Controversy exists as to whether telephone clinics are appropriate in neurosurgical-oncology. The COVID-19 pandemic forced neuro-oncology services worldwide to re-design and at the University Hospitals Birmingham UK, telephone clinics were quickly implemented in select patients to limit numbers of patients attending hospital. It was important to determine how these changes were perceived by patients. METHODS A 20-question patient satisfaction questionnaire was distributed to patients who attended neuro-oncology clinic in person (“face-to-face”), or via the telephone. Fisher’s exact test was used to determine significance, which was set at p< 0.05. RESULTS Eighty questionnaires were distributed between June 2020 and August 2020. Overall, 50% (n=40) of patients returned the questionnaire, 50% (n=23) of face-to-face and 50% (n=17) telephone patients. Of those who received telephone consultations, 88% (n=15) felt the consultation was convenient, 88% (n=15) were satisfied with their consultation and 18% (n=3) felt they would have preferred to have a face-to-face appointment. Of those who attended clinic in person, 96% (n=22) felt their consultation was convenient, 100% (n=23) were satisfied with their consultation and 13% (n=3) would have preferred a telephone consultation. Within the face-to-face clinic attendees, only 13% (n=3) were concerned regarding the COVID risk associated with attending hospital. There was no significant difference in patient convenience or satisfaction (p=0.565 and p=0.174 respectively) between face-to-face and telephone clinics. There was no significant difference in whether patients would’ve preferred the alternative method of consultation (p > 0.999). CONCLUSION Our study suggests that careful patient selection for neuro-oncology telephone clinic is not inferior to face-to-face clinic. Telephone clinic during COVID-19 pandemic proved to be convenient, safe and effective. This global health crisis has transformed telephone neuro-oncology consultations from an experimental innovation into established practice and should be continued beyond the pandemic in select cases.

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