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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms
Published 2024-11-01“…This study introduces GREENIA, a novel artificial intelligence (AI)-powered framework for optimizing RES placement that holistically integrates machine learning (gated recurrent unit neural networks with swish activation functions and attention layers), evolutionary optimization algorithms (Jaya), and Shapley additive explanations (SHAPs). …”
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Green vehicle routing optimization based on dynamic constraint selection co-evolutionary algorithm
Published 2025-05-01“…Second, a constrained multi-objective evolutionary algorithm based on the co-evolutionary framework was proposed for model solving. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy
Published 2013-01-01“…Discovering and utilizing problem domain knowledge is a promising direction towards improving the efficiency of evolutionary algorithms (EAs) when solving optimization problems. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation
Published 2025-05-01“…In order to improve the image-segmentation performance, this study proposes an enhanced Human Evolutionary Optimization Algorithm (HEOA), known as CLNBHEOA, which incorporates Otsu’s method as an objective function to significantly improve the image-segmentation performance. …”
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Evolutionary Approach to the Euclidean Steiner Tree Problem in n-Space
Published 2025-01-01Get full text
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GIRCS: An effective evolutionary scheme to solve SBM-RCPSP scheduling problems for industrial production planning
Published 2025-06-01“…To solve the SBM-RCPSP problem, we propose an evolutionary algorithm called GIRCS inspired by Cuckoo Search and improved to reduce the total project execution time. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search
Published 2022-12-01“…To balance convergence and diversity, the selection operator of a decomposition based multi-objective evolutionary algorithm is adopted. The proposed algorithm has been evaluated on a set of benchmark problems and a real-world optimisation problem. …”
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Evolutionary Polynomial Regression Algorithm with Uncertain Variables: Two Case-Studies in the Field of Civil Engineering
Published 2025-07-01“…Data-driven approaches and calibration techniques for mathematical models, starting from observed data, are attracting more and more interest in the field of civil engineering. Among them, evolutionary polynomial regression (EPR) is an artificial intelligence (AI) technique that combines genetic algorithms (GAs) and regression strategies. …”
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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network
Published 2025-07-01“…Abstract The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. …”
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An evolutionary model-based algorithm for accurate phylogenetic breakpoint mapping and subtype prediction in HIV-1.
Published 2009-11-01“…Our Subtype Classification Using Evolutionary ALgorithms (SCUEAL) procedure is shown to perform very well in a variety of simulation scenarios, runs in parallel when multiple sequences are being screened, and matches or exceeds the performance of existing approaches on typical empirical cases. …”
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Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms
Published 2025-09-01“…Surrogate-assisted evolutionary algorithms (SAEAs) are widely used to solve expensive optimization problems where evaluating candidate solutions is computationally intensive. …”
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Efficient Optical Spatial First-Order Differentiator Based on Graphene-Based Metalines and Evolutionary Algorithms
Published 2020-01-01“…In order to further improve the performance of the differentiator, evolutionary algorithm, such as genetic algorithm, is used to inversely design the structure parameters and chemical potentials of graphene metalines. …”
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Gravitation search algorithm: Application to the optimal IIR filter design
Published 2014-01-01Get full text
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Traffic Optimization Through Waiting Prediction and Evolutive Algorithms
Published 2025-06-01“…For this reason, this project proposes the development of traffic optimizations based on the estimation of vehicle waiting times through the use of different prediction techniques and the use of this estimation to subsequently apply evolutionary algorithms that allow the optimizations to be carried out. …”
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Modelling the effect of vaccination on the spread of COVID-19 via a novel evolutionary ensemble learning algorithm
Published 2025-09-01“…In this algorithm, an evolutionary diversifier algorithm is proposed to generate the base learners. …”
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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation
Published 2025-08-01“…The consideration of variable length difference in algorithm design may be beneficial to the efficiency for solving this problem. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids
Published 2025-05-01“…Their Energy Management Systems (EMSs) can be based on evolutionary optimization algorithms to identify efficient scheduling plans and improve performance. …”
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Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm.
Published 2015-09-01“…SIfTER is a data-driven evolutionary algorithm, leveraging experimentally-available structures of wildtype and variant sequences of a protein to define a reduced search space from where to efficiently draw samples corresponding to novel structures not directly observed in the wet laboratory. …”
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