[PDF] Top 20 Solving constrained optimization using a T-Cell artificial immune system
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Solving constrained optimization using a T-Cell artificial immune system
... En este trabajo, se presenta un nuevo modelo de Sistema Inmune Artificial (SIA), basado en el proceso que sufren las c´elulas T. El modelo propuesto se usa para resolver problemas de optimizaci´on ... See full document
12
Artificial immune system for solving global optimization problems
... adaptive immune system based on the immunitary responses mediate by the ...the T-cells only react with the presence of an antigen plus co-stimulant signals, through a series of ...the T-cells, ... See full document
11
An immune artificial algorithm for dynamic optimization problems: a case of study
... the T-Cell model of the immune system, ...an artificial immune system ...algorithm using dynamic functions taken from the specialized ... See full document
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Immune algorithm for solving the smooth economic dispatch problem
... the T- Cell model of the immune system is presented, it is used to solve Economic Dispatch Problems with smooth objective ...for Immune Algorithm for Economic Dispatch Prob- lem for ... See full document
6
Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
... the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the ...for solving constrained (numeri- cal) optimization ... See full document
10
Immune algorithm for solving the smooth economic dispatch problem
... the T-Cell model of the immune system is presented, it is used to solve Economic Dis- patch Problems with smooth objective ...for Immune Algorithm for Economic Dispatch Problem for ... See full document
10
Hybridizing an immune artificial algorithm with epsilon constrained method
... the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the ...Epsilon Constrained) due to it is increased with epsilon constrained ... See full document
10
Quantification of nitric oxide by high‑performance liquid chromatography‑fluorometric method in subgenomic hepatitis C virus‑replicon expressing Huh7 cells upon treatment with acetylsalicylic acid
... other cell types, it is difficult to quantify this compound via Griess ...the cell culture medium from a subgenomic hepatitis C virus (HCV)‑replicon expressing Huh‑7 cell system using a ... See full document
6
The Escape of Cancer from T Cell-Mediated Immune Surveillance: HLA Class I Loss and Tumor Tissue Architecture
... CD8+ T lymphocytes and the absence of natural killer (NK) cells, in “phase II” the host is trying to isolate tumor cells from the rest of the body, while tumor cells are actively creating an immunosuppressive ... See full document
10
Natural Gas Imbalance System Optimization
... with optimization tools to manage risk derived from price ...the optimization models are completely different in both nature and behavior,) this article shows an important similitude to our work: scenario ... See full document
240
IDENTIFICATION AND CONTROL METHODS UTILIZING RANK AND CARDINALITY OPTIMIZATION APPROACH
... For more details on the EM algorithm see e.g. [30, 60, 63, 64, 66] and the references therein. Notice that the attainment of the auxiliary function Q θ, θ ˆ (i) depends upon the attainment of p(z|y). In this example, we ... See full document
103
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
... slightly constrained instance, the hill climber explores the feasible region most of the time, where the implementation trick mentioned above prevents the re- classification of all the moves, which takes linear ... See full document
8
https://cespinozaj.files.wordpress.com/2011/01/manual-de-prc3a1cticas-en-modular-c.pdf
... UTIM | José Raymundo Ceja Vázquez 6 using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.[r] ... See full document
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Importancia de los linfocitos T γδ en la respuesta inmunitaria de los bovinos
... linfocitos T se originan de los progenitores linfoides en el tejido hematopoyético de la médula ósea y se diferencian en el timo (órgano linfoide ...células T maduras después se dirigen a los órganos ... See full document
11
Development of a cell formation system
... low cell current or very low cell voltage the efficiency is poor and falls below ...the cell formation ...with cell voltage and decreases slightly with the cell ...with cell ... See full document
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Desarrollo de un entorno de realidad virtual 3d con capacidad de inmersión que emule el lanzamiento y recepción de un raspador de tubería (PIG), orientado al entrenamiento dentro de la industria petrolera
... First, the data was collected on various launching and receiving traps of different pipeline operating companies in Ecuador; this data that would allow a way to define the basic and specific parameters for the virtual ... See full document
159
TítuloUsing Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features
... performed using both classical statistical and machine learning (ML) ...methods using clinical and imaging ...response using multiple ML methods with inputs of multi-modal imaging, clinical, and ... See full document
13
El virus Newcastle empleado como alternativa en medicina para el tratamiento del cncer en humanos
... Se ha demostrado en estudios de laboratorio que el VEN se reproduce eficazmente en las células de cáncer humanas in vitro principalmente en tumores como los carcinomas de colon rectal, gástrico, pancreático, de la ... See full document
5
Optimización de algoritmos PSO mediante regresión exponencial
... En estos algoritmos cada ave se representa mediante una partícula que está siempre en continuo movimiento dentro del espacio de búsqueda; almacenando, y en algunos casos, comunicando a todo el enjambre la mejor solución ... See full document
7
Natural Gas Imbalance System Optimization
... methods that cluster the states showing similar regression parameters into sets that behave likewise, each one based in different concepts and exhibiting equally different strengths and weaknesses. Obtaining a good pooled ... See full document
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