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Improved estimation of algebraic states for nonlinear descriptor systems by integration of evolutionary algorithms within EKF framework
The systems in descriptor form arise during modeling which differs from conventional state space models. The extended Kalman filter (EKF) for...
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A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms
Surrogate-assisted evolutionary algorithms (SAEAs) have attracted considerable attention for reducing the computation time required by an EA on...
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Generalized Harmonic State Estimation: An Approach Considering Measurement and Parameter Errors
Harmonic state estimation (HSE) is an useful technique for determining harmonic voltages and currents in electric power systems based on synchronized...
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A Fuzzy-based Adaptive Unscented Kalman Filter for State Estimation of Three-dimensional Target Tracking
Although several state estimation methods have been presented for nonlinear systems, the challenges in implementing these estimation methods for...
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Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey
Surrogate-Assisted Evolutionary Optimisation algorithms are a specialized brand of optimisers developed to undertake problems with computationally...
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Enhanced fault classification in underground cable systems: a three-step framework utilizing evolutionary optimization for signal tracking and parameter estimation
This paper introduces a comprehensive three-step framework for fault classification in underground cable systems. The first step involves the...
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Review of Power System State Estimation and Maturity Level of Market Solutions: Preceding Steps
Power system state estimation (PSSE) is a control center application that comprises a collection of algorithms aimed at providing essential...
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Expectation-maximization Estimation Algorithm for Bilinear State-space Systems with Missing Outputs Using Kalman Smoother
In this paper, the parameter estimation of bilinear state-space systems with missing outputs is studied. The bilinear model is transformed into a...
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Intelligent Prediction of Critical State Parameters for Non-plastic Tailings and Soils Using Evolutionary Algorithms
Tailings from mines and industries impose danger to the environment as evidenced by the recent failures of tailing storage dams. The tailings are...
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Designing Devices for Uniform Steady-State Heating with the Method of Evolutionary Structural Optimization
The problem of topology optimization of a heat-conducting object for the criterion of uniformity of the steady-state temperature field in an assigned...
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Smart grid-based manufacturing by nanoparticle analysis with evolutionary optimization probability detection
In smart grid-based manufacturing, nanoparticles can play a significant role in enhancing efficiency, productivity, and sustainability. They can be...
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Adaptive candidate estimation-assisted multi-objective particle swarm optimization
The selection of global best (Gbest) exerts a high influence on the searching performance of multi-objective particle swarm optimization algorithm...
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Evolutionary ensembles based on prioritized aggregation operator
Ensemble methods are advanced learning algorithm proposed for generating base classifiers and accumulating them all together to derive a new...
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Evolutionary constrained multi-objective optimization: a review
Solving constrained multi-objective optimization problems (CMOPs) is challenging due to the simultaneous consideration of multiple conflicting...
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Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
It has been claimed throughout the last two decades that hydrological machine learning (ML) models may produce more accurate and resilient...
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Design and implementation of intelligent LiDAR SLAM for autonomous mobile robots using evolutionary normal distributions transform
This paper presents a method that employs an evolutionary normal distributions transform (NDT) for simultaneous localization and map** (SLAM) using...
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Fractional-Order Estimation Using via Locust Search Algorithm
Recently, parameter estimation for fractional-order chaotic systems has attracted the attention of multiple scientific and engineering fields. In the...
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Recent Evolutionary Computing Algorithms and Industrial Applications: A Review
Evolutionary computing algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems in...
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Machine learning-enabled globally guaranteed evolutionary computation
Evolutionary computation, for example, particle swarm optimization, has impressive achievements in solving complex problems in science and industry;...
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IQAEvolNet: a novel unsupervised evolutionary image enhancement algorithm on chest X-ray scans
PurposeX-ray images are commonly used in medicine because they are inexpensive and non-invasive, but they often have noise issues caused by equipment...
