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601
Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm
Published 2025-02-01“…Finally, the elimination and relocation strategy based on stochastic center-of-gravity dynamic reverse learning is introduced for the inferior individuals in the population, which effectively maintains the diversity of the population and improves the convergence speed of the algorithm while avoiding falling into the local optimal solution effectively. …”
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602
Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri...
Published 2025-01-01“…Various optimization algorithms have been developed to address this issue. …”
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603
An Operation Optimization Strategy of the Combined Power Generation System with Wind Power & Pumped Storage Based on Improved Whale Algorithm
Published 2022-12-01“…In order to solve the model, based on the basic whale optimization algorithm, a multi-objective whale optimization algorithm is developed by adding external population and leader selection mechanism, and the control parameter in the algorithm is improved to obtain an improved multi-objective whale optimization algorithm. …”
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604
A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards
Published 2025-04-01“…It compares the current approach for optimizing manipulator configurations, which relies on simulation and optimization algorithms, with an improved methodology that integrates machine learning models to enhance the optimization process. …”
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605
Enhanced Design of a Hand Exoskeleton: Balancing Force Transmission and Actuation With Evolutionary Algorithms
Published 2025-01-01“…The optimization relies on a Genetic Algorithm, the Big Bang-Big Crunch Algorithm, and their versions for multi-objective optimization. …”
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606
Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems
Published 2025-03-01“…Through a series of experiments, it is demonstrated that compared to multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II), and multi-objective sparrow search algorithm (MOSSA), the proposed MCAACO significantly reduces travel paths by an average of 3.05% and increases vehicle service coverage by an average of 3.2%, while satisfying vehicle capacity constraints. …”
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607
Generative design and multi-objective optimization for enhanced building thermal performance
Published 2025-09-01Get full text
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608
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609
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610
Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact
Published 2024-01-01Get full text
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611
Energy-Optimized Path Planning and Tracking Control Method for AUV Based on SOC State Estimation
Published 2025-05-01“…This paper proposes a path planning and trajectory tracking control framework for autonomous underwater vehicles (AUVs) combined with battery state of charge (SOC) optimization. The framework incorporates the Grasshopper Optimization Algorithm (GOA) with the Artificial Potential Field Algorithm (APF) to achieve global path planning and local path optimization while minimizing energy consumption as an objective. …”
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612
PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building Footprint Extraction
Published 2025-07-01“…This paper proposes an end-to-end polygon dynamic adjustment algorithm (PDAA) to improve the accuracy and geometric consistency of building contour extraction by dynamically generating and optimizing polygon vertices. …”
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613
Optimization of OPM-MEG Layouts with a Limited Number of Sensors
Published 2025-04-01“…We applied a sequential selection algorithm (SSA), originally developed for body surface potential mapping in electrocardiography, which requires a large database of full-head MFMs. …”
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614
Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling
Published 2025-06-01“…This paper proposes a multi-objective coordinated control and optimization system for PV microgrids. To address the challenges of slow convergence and local optima in traditional PV microgrid scheduling methods, this study introduced an improved multiple objective particle swarm optimization (IMOPSO) algorithm that integrates an adaptive inertia weight adjustment strategy based on optimal similarity and a multi-directional iterative Pareto solution archive update mechanism. …”
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615
Dynamic Modeling and Parameter Optimization of Potato Harvester Under Multi-Source Excitation
Published 2025-05-01“…On this basis, the Bayesian optimization algorithm was used to obtain optimal connection parameters. …”
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616
A Joint Optimization Method for Power and Array of Multi-Point Sources System
Published 2025-07-01“…Third, based on the non-dominated sorting whale optimization algorithm (NSWOA), an adaptive inertia weight based on the cosine function and logistic chaotic map is introduced to obtain the optimal arrangement. …”
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617
A two-stage robust optimization for EV user-friendly VPP participation in ancillary service markets
Published 2025-10-01Get full text
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618
Structural Optimization-Based Enhancement of the Dynamic Performance for Horizontal Axis Wind Turbine Blade
Published 2025-07-01“…It employs a complex optimization framework that combines aerodynamics and structural analysis via MATLAB and a genetic algorithm. …”
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619
Optimizing the Location of 5G Network Base Stations Taking into Account Intra-System Interference
Published 2025-04-01“…A method is proposed for determining the number and optimal spatial coordinates of BSs in indoor environments, such as shopping malls or telemedicine centers, under random user distribution to ensure maximum coverage and network throughput while explicitly accounting for intra-system interference. …”
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620
Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm...
Published 2025-06-01“…For comparison, the discrete-continuous versions of the vortex search algorithm (VSA), the sine-cosine algorithm (SCA), Phasor Particle Swarm Optimization (PPSO), New Self-Organising Hierarchical PSO (NHPSO-JTVAC), Differential Evolution (DE), Gold Search Optimization (GSO) and the classical version of JAYA are used, validating the effectiveness of our proposal on the 33- and 69-bus test systems while considering variable generation and demand. …”
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