Parcourir par sujet "Genetic algorithms"
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Application of Fuzzy Cognitive Maps to water demand prediction
(2015)This article is focused on the issue of learning of Fuzzy Cognitive Maps designed to model and predict time series. The multi-step supervised-learning based-on-gradient methods as well as population-based learning, with ... -
Applied Artificial Neural Networks and Genetic Algorithms in Simulation Strategy for Trajectory in Collaborative Robotic
(2021)This work proposes a solution for collaborative robotics, presenting some precautions with this new perspective of robotics and norm, trajectory planning and observed singularities. Also, it compares techniques for solving ... -
Calibration of a growth model for tomato seedlings (TOMSEED) based on heuristic optimisation
(2015)A mechanistic growth model for tomato seedlings cultivated in unheated beds is developed, based on modifications of existing tomato growth models. Photosynthetically active radiation at crop level, air temperature and CO2 ... -
Can genetic algorithms improve trading decisions in financial markets?
(2005)Over the last years, trading systems are widely used for market assessment however parameter optimization of these systems has adopted little concern. This paper, paper provides an answer to the question Can Genetic ... -
Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification
(2022)The features of a dataset play an important role in the construction of a machine learning model. Because big datasets often have a large number of features, they may contain features that are less relevant to the machine ... -
Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination with Power Management and Trajectory Design
(2022)As massive ground users access wireless networks with limited available spectrum, coexisting users that share the same spectrum band severely interfere with each other. Moreover, communication pairs without direct communication ... -
Exploring an ensemble of methods that combines fuzzy cognitive maps and neural networks in solving the time series prediction problem of gas consumption in Greece
(2019)This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim ... -
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm
(2021)Big data methods prevail in the biomedical domain leading to effective and scalable data-driven approaches. Biomedical data are known for their ultra-high dimensionality, especially the ones coming from molecular biology ... -
Forming District Metered Areas in a Water Distribution Network Using Genetic Algorithms
(2016)Dividing a water distribution network into District Metered Areas (DMAs) is the first vital step towards water loss management. It is a multivariate problem. Techniques based on Genetic Algorithms is a proven way to provide ... -
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
(2016)In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). ... -
Implementing fuzzy cognitive maps with neural networks for natural gas prediction
(2018)The goal of this research study is to test the hardiness of a novel hybrid computational intelligence model in day-ahead natural gas demand prediction. The proposed model combines an evolutionary learned FCM method with a ... -
Improved genetic algorithms and list scheduling techniques for independent task scheduling in distributed systems
(2007)Given a set of tasks with certain characteristics, e.g., data size, estimated execution time and a set of processing nodes with their own parameters, the goal of task scheduling is to allocate tasks at nodes so that the ... -
Improving technical trading systems by using a new MATLAB-based genetic algorithm procedure
(2007)Recent studies in financial markets suggest that technical analysis can be a very useful tool in predicting the trend. Trading systems are widely used for market assessment; however, parameter optimization of these systems ... -
Joint EPC and RAN Caching of Tiled VR Videos for Mobile Networks
(2019)In recent years, 360-degree VR (Virtual Reality) video has brought an immersive way to consume content. People can watch matches, play games and view movies by wearing VR headsets. To provide such online VR video services ... -
Mechanical response assessment of antibacterial PA12/TiO2 3D printed parts: parameters optimization through artificial neural networks modeling
(2022)This study investigates the mechanical response of antibacterial PA12/TiO2 nanocomposite 3D printed specimens by varying the TiO2 loading in the filament, raster deposition angle, and nozzle temperature. The prediction of ... -
Mobile vehicle emission inspection service optimization: a flow intercepting location model and application
(2020)Emission screening and control for motorized traffic is mandatory in most countries worldwide. However, there may be cases that periodic inspections in permanent establishments may be inefficient and fail to enforce emission ... -
Multiobjective unfolding of shared power consumption pattern using genetic algorithm for estimating individual usage in smart cities
(2016)In smart cities residential homes are fully equipped with information networking and computing technologies and are connected to the power grid via intelligent meters. Connectivity of meters allows formation of groups of ... -
A Novel Genetic Algorithm for I/O Pad Planning Retaining Former Cell Positions
(2020)In a typical integrated circuit (IC) design flow, each step is executed sequentially, and valuable feedback is provided that can be utilized if we are forced to backtrack as a means to resolve problems or satisfy design ... -
Optimal sensor and actuator configuration for structural identification
(2001)A methodology is presented for designing cost-effective optimal sensor and actuator configurations useful for structural model updating and health monitoring purposes. The optimal sensor and actuator configuration is ... -
Optimizing the formation of DMAs in a water distribution network through advanced modelling
(2019)Water pressure management in a water distribution network (WDN) is a key component applied to achieve desirable water quality as well as a trouble-free operation of the network. This paper presents a hybrid, two-stage ...