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A Broyden-based algorithm for multi-objective local-search optimization
In multi-objective optimization, the direction vectors in the objective space that improve the current non-dominated set are named improvement directions. The Improvement... -
Homicide forecasting for the state of Guanajuato using LSTM and geospatial in...
In the last years, intentional homicides have increased significantly in Mexico. A proven strategy to confront the problem is applying predictive methods used to anticipate the... -
Roughness Parameter Estimation for flood numerical simulation using Different...
A methodology to estimate parameters necessary to carry out numerical simulations of flood phenomena is presented, that may be useful for detecting flood-prone areas. Geospatial... -
Improving Geomorphological Classification via Binary Image Processing
Landform classification is the basis for understanding and describing the processes and evolution of landscape. This process usually requires elevation information from... -
Design optimization and parameter estimation of a PEMFC using nature-inspired...
With the increasing demand for electrical energy and the challenges related to its production, along with the need to be environmentally friendly to achieve sustainability for... -
Mechanism Design Optimization of a Portable Scanner for Measuring Atmosphere ...
In contrast with other kinds of atmospheric pollutants, light pollution does not present highly-variable patterns in short time periods. Hence, the cost of a monitoring network... -
Optimization of sensor locations for a light pollution monitoring network
Light Pollution is an environmental problem that needs to be retrieved by experimental means. However, to the best of our knowledge, there is no methodology nor a quantitative... -
Improved training of deep convolutional networks via minimum-variance regular...
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated applications, but the outcomes of many AI models are challenging to comprehend and... -
Feature Analysis for Urban-land Change of Morelia City Via the TOC Curve
The feature analysis for feature selection is an important step for defining the inputs of the simulation models for urban growth. The simulation models are valuable tools for... -
Valley Classification using Convolutional Neural Network and a Geomorphons Map
Geomorphological classification serves as a valuable tool for comprehending the origin and evolution of landscapes, as well as for making informed decisions regarding... -
Parameter estimation for empirical and semi-empirical models in a direct etha...
Experimental data from a Direct Ethanol Fuel Cell (DEFC) provides a general perspective about its performance; nevertheless, it does not provide information about the cell's... -
The directed multi-objective estimation distribution algorithm (D-MOEDA)
Improvement Direction Mapping (IDM) methods have been applied as a local search strategy to hybridize global search algorithms. A natural question is whether this concept could... -
Renewable Energy Potential Estimation in Northern Mexico Using GIS
The transition to renewable energy is crucial for addressing pollution and greenhouse gas emissions from activities like electricity generation and transportation. However, the... -
Multivariate Forecasting of Homicide Count for the Metropolitan Zone of Guada...
The Metropolitan Area of Guadalajara (MAG) is the result of an urban conurbation phenomenon involving the capital of the State of Jalisco. It stands as the most politically,... -
Constrained optimization of sensor locations for existing light-pollution mon...
The high levels of nocturnal artificial light emissions from urban areas induce adverse effects on the environment and human health. Having adequate monitoring provides... -
The Aiba-Edward kinetics adapted to the macro-homogeneous model for robust PE...
A Proton exchange membrane fuel cell (PEMFC) is a device that efficiently transforms the chemical energy of a fuel into electrical energy, water, and heat. Numerical simulations... -
The Bayesian operating characteristic curve for feature analysis applied to u...
Radio frequency (RF) spectrum sensing is critical for applications requiring precise object and posture detection and classification. This survey aims to provide a focused... -
Graph processing frameworks
This chapter provides a comprehensive overview of Graph Processing Frameworks (GPFs), which are software systems designed to efficiently process large-scale graphs across... -
Self‐adaptive online virtual network migration in network virtualization envi...
In Network Virtualization Environments, the capability of operators to allocate resources in the Substrate Network (SN) to support Virtual Networks (VNs) in an optimal manner is... -
A holistic framework for virtual network migration to enhance embedding ratio...
Network virtualization is a promising technology for overcoming Internet ossification by enabling multiple Virtual Networks (VNs) to coexist on a shared substrate network. One...
