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  1. Book ; Online: Numerical and Evolutionary Optimization 2021

    Quiroz, Marcela / de la Fraga, Luis Gerardo / Lara, Adriana / Trujillo, Leonardo / Schütze, Oliver

    2023  

    Keywords Information technology industries ; Computer science ; distributor's pallet loading problem ; heuristics ; bin packing ; real-life instances ; emergency medical services ; emergency medicine ; decision-support system ; pre-hospital emergency care ; ambulance response time ; machine learning ; geo-indistinguishability ; differential privacy ; privacy-preserving machine learning ; input perturbation ; estimation of distribution algorithm ; Mallows model ; moth-flame algorithm ; job shop scheduling problem ; quay crane scheduling problem ; first-passage time ; Markov chain ; queueing theory ; simulation ; OR in health services ; KPI ; wind energy ; wind turbine blades ; erosion ; modal analysis ; aerodynamic analysis ; AutoML ; feature selection ; fault severity assessment ; gearboxes ; XGBoost classifiers ; autism ; attention ; ASD ; learning activities ; EEG ; BCI ; features ; artificial intelligence ; Grouping Genetic Algorithm ; variable decomposition ; Large-Scale Constrained Optimization ; DVT ; early diagnosis ; machine-learning ; smart system ; embedded system ; edge computing ; edge device ; OpenFOAM ; CFD ; ANFIS ; ANFIS (GA) ; ANFIS (PSO) ; ANFIS (FFA) ; nonlinear programming ; largest small polygons (LSP) ; {LSP(n)} model-class ; optimal area sequence {A(n)} ; revised LSP model ; mathematica model development environment ; IPOPT solver engine ; numerical optimization results and regression model for estimating {A(n)} ; n/a
    Language English
    Size 1 electronic resource (214 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030374620
    ISBN 9783036579054 ; 3036579052
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Numerical and Evolutionary Optimization 2020

    Quiroz, Marcela / Schütze, Oliver / Ruiz, Juan Gabriel / de la Fraga, Luis Gerardo

    2021  

    Keywords Research & information: general ; Mathematics & science ; robust optimization ; differential evolution ; ROOT ; optimization framework ; drainage rehabilitation ; overflooding ; pipe breaking ; VCO ; CMOS differential pair ; PVT variations ; Monte Carlo analysis ; multi-objective optimization ; Pareto Tracer ; continuation ; constraint handling ; surrogate modeling ; multiobjective optimization ; evolutionary algorithms ; kriging method ; ensemble method ; adaptive algorithm ; liquid storage tanks ; base excitation ; artificial intelligence ; Multi-Gene Genetic Programming ; computational fluid dynamics ; finite volume method ; JSSP ; CMOSA ; CMOTA ; chaotic perturbation ; fixed point arithmetic ; FP16 ; pseudo random number generator ; incorporation of preferences ; multi-criteria classification ; decision-making process ; multi-objective evolutionary optimization ; outranking relationships ; decision maker profile ; profile assessment ; region of interest approximation ; optimization using preferences ; hybrid evolutionary approach ; forecasting ; Convolutional Neural Network ; LSTM ; COVID-19 ; deep learning ; trust region methods ; multiobjective descent ; derivative-free optimization ; radial basis functions ; fully linear models ; decision making process ; cognitive tasks ; recommender system ; project portfolio selection problem ; usability evaluation ; multi-objective portfolio optimization problem ; trapezoidal fuzzy numbers ; density estimators ; steady state algorithms ; protein structure prediction ; Hybrid Simulated Annealing ; Template-Based Modeling ; structural biology ; Metropolis ; optimization ; linear programming ; energy central
    Size 1 electronic resource (364 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel, Switzerland
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021291816
    ISBN 9783036516707 ; 3036516700
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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    Inter-library loan at ZB MED

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  3. Article: Order type dataset analysis for fiducial markers.

    Cruz Hernández, Heriberto / de la Fraga, Luis Gerardo

    Data in brief

    2018  Volume 20, Page(s) 1068–1072

    Abstract: Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data related ...

    Abstract Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data related to the application of Order Type with sets of 5, 6, 7, and 8 points to build fiducial markers. The OT is represented through a
    Language English
    Publishing date 2018-08-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2018.08.126
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Optimization of fractional-order chaotic cellular neural networks by metaheuristics.

    Tlelo-Cuautle, Esteban / González-Zapata, Astrid Maritza / Díaz-Muñoz, Jonathan Daniel / de la Fraga, Luis Gerardo / Cruz-Vega, Israel

    The European physical journal. Special topics

    2022  Volume 231, Issue 10, Page(s) 2037–2043

    Abstract: Artificial neural networks have demonstrated to be very useful in solving problems in artificial intelligence. However, in most cases, ANNs are considered integer-order models, limiting the possible applications in recent engineering problems. In ... ...

    Abstract Artificial neural networks have demonstrated to be very useful in solving problems in artificial intelligence. However, in most cases, ANNs are considered integer-order models, limiting the possible applications in recent engineering problems. In addition, when dealing with fractional-order neural networks, almost any work shows cases when varying the fractional order. In this manner, we introduce the optimization of a fractional-order neural network by applying metaheuristics, namely: differential evolution (DE) and accelerated particle swarm optimization (APSO) algorithms. The case study is a chaotic cellular neural network (CNN), for which the main goal is generating fractional orders of the neurons whose Kaplan-Yorke dimension is being maximized. We propose a method based on Fourier transform to evaluate if the generated time series is chaotic or not. The solutions that do not have chaotic behavior are not passed to the time series analysis (TISEAN) software, thus saving execution time. We show the best solutions provided by DE and APSO of the attractors of the fractional-order chaotic CNNs.
    Language English
    Publishing date 2022-01-21
    Publishing country France
    Document type Journal Article
    ZDB-ID 2267176-6
    ISSN 1951-6401 ; 1951-6355
    ISSN (online) 1951-6401
    ISSN 1951-6355
    DOI 10.1140/epjs/s11734-022-00452-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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  5. Article: FPAA-based implementation of fractional-order chaotic oscillators using first-order active filter blocks.

    Silva-Juárez, Alejandro / Tlelo-Cuautle, Esteban / de la Fraga, Luis Gerardo / Li, Rui

    Journal of advanced research

    2020  Volume 25, Page(s) 77–85

    Abstract: Fractional-order chaotic oscillators (FOCOs) have been widely studied during the last decade, and some of them have been implemented on embedded hardware like field-programmable gate arrays, which is a good option for fast prototyping and verification of ...

    Abstract Fractional-order chaotic oscillators (FOCOs) have been widely studied during the last decade, and some of them have been implemented on embedded hardware like field-programmable gate arrays, which is a good option for fast prototyping and verification of the desired behavior. However, the hardware resources are dependent on the length of the digital word that is used, and this can degrade the desired response due to the finite number of bits to perform computer arithmetic. In this manner, this paper shows the implementation of FOCOs using analog electronics to generate continuous-time chaotic behavior. Charef's method is applied to approximate the fractional-order derivatives as a ratio of two polynomials in the Laplace domain. For instance, two commensurate FOCOs are the cases of study herein, for which we show their dynamical analysis by evaluating their equilibrium points and eigenvalues that are used to estimate the minimum fractional-order that guarantees their chaotic behavior. We propose the use of first-order all-pass and low-pass filters to design the ratio of the polynomials that approximate the fractional-order. The filters are implemented using amplifiers and synthesized on a field-programmable analog array (FPAA) device. Experimental results are in good agreement with simulation results thus demonstrating the usefulness of FPAAs to generate continuous-time chaotic behavior, and to allow reprogramming of the parameters of the FOCOs.
    Language English
    Publishing date 2020-06-20
    Publishing country Egypt
    Document type Journal Article ; Review
    ZDB-ID 2541849-X
    ISSN 2090-1224 ; 2090-1232
    ISSN (online) 2090-1224
    ISSN 2090-1232
    DOI 10.1016/j.jare.2020.05.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: VHDL Descriptions for the FPGA Implementation of PWL-Function-Based Multi-Scroll Chaotic Oscillators.

    Tlelo-Cuautle, Esteban / Quintas-Valles, Antonio de Jesus / de la Fraga, Luis Gerardo / Rangel-Magdaleno, Jose de Jesus

    PloS one

    2016  Volume 11, Issue 12, Page(s) e0168300

    Abstract: Nowadays, chaos generators are an attractive field for research and the challenge is their realization for the development of engineering applications. From more than three decades ago, chaotic oscillators have been designed using discrete electronic ... ...

    Abstract Nowadays, chaos generators are an attractive field for research and the challenge is their realization for the development of engineering applications. From more than three decades ago, chaotic oscillators have been designed using discrete electronic devices, very few with integrated circuit technology, and in this work we propose the use of field-programmable gate arrays (FPGAs) for fast prototyping. FPGA-based applications require that one be expert on programming with very-high-speed integrated circuits hardware description language (VHDL). In this manner, we detail the VHDL descriptions of chaos generators for fast prototyping from high-level programming using Python. The cases of study are three kinds of chaos generators based on piecewise-linear (PWL) functions that can be systematically augmented to generate even and odd number of scrolls. We introduce new algorithms for the VHDL description of PWL functions like saturated functions series, negative slopes and sawtooth. The generated VHDL-code is portable, reusable and open source to be synthesized in an FPGA. Finally, we show experimental results for observing 2, 10 and 30-scroll attractors.
    MeSH term(s) Nonlinear Dynamics
    Language English
    Publishing date 2016
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0168300
    Database MEDical Literature Analysis and Retrieval System OnLINE

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