Carlos Vilas

Consejo Superior de Investigaciones Científicas

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Antonio A. Alonso

Consejo Superior de Investigaciones Científicas

Miriam R. García

Consejo Superior de Investigaciones Científicas

Eva Balsa‐Canto

Universidade de Vigo

Julio R. Banga

Consejo Superior de Investigaciones Científicas

Luís T. Antelo

Johannes Gutenberg University Mainz

Alain Vande Wouwer

University of Mons

Yagamare Fall

Universidade de Vigo

JÁ

Jesús Álvarez

Universidad Autónoma Metropolitana

Antonio Mouriño

Universidade de Santiago de Compostela

P. Saucez

University of Mons

Cooperative Institutions

Consejo Superior de Investigaciones Científicas

Universidade de Vigo

Instituto de Investigacións Mariñas

Universidade de Santiago de Compostela

Wageningen University & Research

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Centre National de la Recherche Scientifique

Institut National de la Recherche Agronomique

Universidad Autónoma de Madrid

AgroParisTech

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Dynamic optimization of distributed biological systems using robust and efficient numerical techniques

BMC Systems Biology (2012)

Carlos Vilas Eva Balsa‐Canto María-Sonia G. García Julio R. Banga Antonio A. Alonso

Abstract Background Systems biology allows the analysis of biological systems behavior under different conditions through in silico experimentation. The possibility of perturbing biological systems in different manners calls for the design of perturbations to achieve particular goals. Examples would include, the design of a chemical stimulation to maximize the amplitude of a given cellular signal or to achieve a desired pattern in pattern formation systems, etc. Such design problems can be mathematically formulated as dynamic optimization problems which are particularly challenging when the system is described by partial differential equations. This work addresses the numerical solution of such dynamic optimization problems for spatially distributed biological systems. The usual nonlinear and large scale nature of the mathematical models related to this class of systems and the presence of constraints on the optimization problems, impose a number of difficulties, such as the presence of suboptimal solutions, which call for robust and efficient numerical techniques. Results Here, the use of a control vector parameterization approach combined with efficient and robust hybrid global optimization methods and a reduced order model methodology is proposed. The capabilities of this strategy are illustrated considering the solution of a two challenging problems: bacterial chemotaxis and the FitzHugh-Nagumo model. Conclusions In the process of chemotaxis the objective was to efficiently compute the time-varying optimal concentration of chemotractant in one of the spatial boundaries in order to achieve predefined cell distribution profiles. Results are in agreement with those previously published in the literature. The FitzHugh-Nagumo problem is also efficiently solved and it illustrates very well how dynamic optimization may be used to force a system to evolve from an undesired to a desired pattern with a reduced number of actuators. The presented methodology can be used for the efficient dynamic optimization of generic distributed biological systems.

Complex system

Modelling biological systems

10.1186/1752-0509-6-79

Cite

Citations (12)

Nuevas herramientas de monitorización electrónica para una gestión sostenible y en línea de los recursos pesqueros: el proyecto sicaptor

Luís T. Antelo Juan Carlos Durán Ovalle Carlos Vilas Esther Abad J. Valeiras

Poster.-- XXII Foro dos Recursos Marinos e da Acuicultura das Rias Galegas, O Grove, 10-11 de outubro de 2019

Source

Cite

Citations (0)

ChemInform Abstract: Vitamin D Heterocyclic Analogues. Part 1. A Stereoselective Route to CD Systems with Pyrazole Rings in Their Side Chains.

ChemInform (2002)

Yagamare Fall Candida Barreiro Carlos Vilas Antonio Mouriño

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.

Pyrazole

Side chain

10.1002/chin.200223230

Cite

Citations (0)

Modeling and forecast of quality attributes for fresh fish

Miriam R. García Carlos Vilas Juan José Rodríguez Herrera Marta Bernárdez Costas Eva Balsa‐Canto

1 poster presentado en International Congress on Engineering and Food (ICEF12, Quebec City, Canada, 14-18 June 2015

Source

Cite

Citations (0)

Synthesis, cytotoxic activities and proposed mode of binding of a series of bis{[(9-oxo-9,10-dihydroacridine-4-carbonyl)amino]alkyl}alkylamines

European Journal of Medicinal Chemistry (2002)

Miguel F. Braña Luis Casarrubios Gema Domı́nguez Carlos Vilas José M. Pérez

Ethidium bromide

Acridine

Acridine orange

10.1016/s0223-5234(02)01348-x

Cite

Citations (14)

An operational model for the optimal operation of the freeze-drying process

XL Jornadas de Automática: libro de actas (Ferrol, 4-6 de septiembre de 2019) (2019)

Carlos Vilas Antonio A. Alonso Eva Balsa‐Canto Estefanía López Quiroga Cristian Trelea

In this work an operational mathematical model for the freeze-drying process is derived.The model describes the state variables related to product quality and stability.Computational issues associated to the presence of a moving front are approached by using the Landau transform.Unknown model parameters are estimated using experimental data.The model is used to design optimal operation policies that reduce the process duration ensuring product quality.

Process modeling

10.17979/spudc.9788497497169.623

Cite

Citations (0)

RELATIVE CONTRIBUTION OF DISPERSAL AND NATURAL SELECTION TO THE MAINTENANCE OF A HYBRID ZONE IN LITTORINA

Evolution (2004)

Raquel Aparecida Sales da Cruz Carlos Vilas Javier Mosquera Carlos García

Habitat preference behavior may play an important role in nonallopatric speciation. However, most examples of habitat preference contributing to differentiation within natural populations correspond to parasites or herbivores living in the discrete environments constituted by their animal or plant hosts. In the present study we investigated migration guided by habitat preference in the intertidal snail Littorina saxatilis in a hybrid zone associated with an ecotone across the shore, which is therefore a continuously varying environment. First, we found evidence for this behavior in one of the two locations studied. Second, we made reciprocal transplants to suppress the phenotypic gradient observed across the hybrid zone and measured the relative contributions of selection and migration to its regeneration. Selection played an important role at the two locations studied, but migration was only important at one, where it accounted for between a third and a half of the regenerated gradient. This overall minor effect of migration was relevant for theoretical models dealing with nonallopatric speciation, because it suggested that variation for habitat preference did not have an important role in the initiation of the differentiation process. The preference behavior observed in the hybrid zone would have evolved secondarily, as a consequence of habitat-dependent fitness differences between phenotypes.

Hybrid zone

Ecotone

Mating preferences

Littorina

Genetic algorithm

10.1554/03-644

Cite

Citations (3)

A smart pilot plant to valorise biomass associated to the new landing obligation: The LIFE iSEAS initiative

Ricardo I. Pérez‐Martín José Antonio Vázquez Luís T. Antelo Carlos Vilas Amaya Franco‐Uría

Obligation

Source

Cite

Citations (0)

Optimal operation of thermal processing of canned tuna under product variability

Journal of Food Engineering (2021)

José Luis Pitarch Carlos Vilas César de Prada Carlos Palacı́n Antonio A. Alonso

Thermal processing of canned products is subject to variability among the different items in a batch, which results in differences in terms of food quality and safety. Such variability is mainly caused by heterogeneity in the thermal processing unit as well as differences in the quantity of food, its compaction, and the quantity of packing liquid from item to item. Besides, for a proper design of the process operation strategies, different conflicting objectives, such as maximization of product quality and uniformity or minimization of processing time and energy consumption, must be considered. In this paper, we present a suitable formulation to efficiently address the multi-objective optimization problem of thermal processing of canned food under the presence of product variability. Such variability has been characterized from experimental data provided by an industrial cannery. Our formulation exploits the monotonic and convex behavior of the quality/safety indicators and the product kinetics with respect to the uncertain thermal coefficients, avoiding thus the computationally-expensive stochastic approach via Monte-Carlo simulations. In particular, customizable retort temperature profiles are considered as a beneficial alternative to the standard constant retort temperature practice.

Minification

10.1016/j.jfoodeng.2021.110594

Cite

Citations (19)

Time–temperature integrators as predictive temperature sensors

Food Control (2014)

Ana Arias-Méndez Carlos Vilas Antonio A. Alonso Eva Balsa‐Canto

10.1016/j.foodcont.2014.04.001

Cite

Citations (8)