検索結果 - optimization algorithm

This paper proposes a multi-map path planning approach for rescue robots to address the challenges posed by complex obstacle information, high uncertainty, and the difficulties in mine disaster scenarios. Based on multiple possible environmental maps, each with associated subjective probabilities de...

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The rapid development of unmanned aerial vehicles (UAVs) and imaging technologies has opened new research avenues for precision agriculture, particularly in the context of plant phenotyping where their utilization has been intensive over the last decade. This review focuses on the interplay of machi...

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Electricity demand is forecasted to double in 2035, and it is vital to address the economicsof electrical energy generation for planning purposes. This study aims to examine the applicability ofGravitational Search Algorithm (GSA) and the newly improved GSA (IGSA) for optimization of themixed-intege...

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For a given timetable in urban rail transit systems, this paper presents a practical energy efficiency optimization problem that carries out adjustments to the timetable, with the goal of energy saving. We propose two strategies to address this challenge, including adjusting the section running time...

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The article suggests a modification for numerical fireworks method of the single-objective optimization for solving the problem of multiobjective optimization. The method is metaheuristic. It does not guarantee finding the exact solution, but can give a good approximate result. Multiobjective optimi...

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The building industry is a major consumer of resources and a significant contributor to environmental degradation, largely due to its reliance on energy-intensive materials and construction practices. In this context, the reuse of components from decommissioned structures offers a promising strategy...

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In recent years, opposition-based learning (OBL) has emerged as a powerful enhancement strategy in metaheuristic algorithms (MAs), gaining significant attention for its potential to accelerate convergence and improve solution quality. Existing research lacks a structured analysis of how different OB...

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This article investigates the Congruence Modulo algorithm and time freezing method as innovative solutions for addressing fuzzy bottleneck cost transportation problems. Starting from the crisp bottleneck cost transportation problem, we extend this framework into a fuzzy domain, applying the proposed...

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The purpose of this paper is to present a novel optimization framework that enhances Wasserstein Distributionally Robust Optimization (WDRO) for chance-constrained facility location problems under demand uncertainty. Traditional methods often rely on predefined probability distributions, limiting th...

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To improve the path search efficiency and path optimization of mine rescue UAVs in environments with narrow passages and dense, complex obstacles, a path planning method based on the improved Artificial Jellyfish Search (IJS) algorithm was proposed. The Artificial Jellyfish Search (JS) algorithm was...

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Recognizing discontinuities within rock masses is a critical aspect of rock engineering. The development of remote sensing technologies has significantly enhanced the quality and quantity of the point clouds collected from rock outcrops. In response, we propose a workflow that balances accuracy and...

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In Global Navigation Satellite System (GNSS)-denied environments, opportunistic positioning using non-cooperative Low Earth Orbit (LEO) satellite signals has shown strong potential. However, dynamic platforms face challenges in maintaining sufficient satellite counts and favorable geometric distribu...

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The Ice, Cloud, and land Elevation Satellite-2 has provided unprecedented global surface elevation measurements through photon-counting Lidar (Light detection and ranging), yet its low signal-to-noise ratio (SNR) poses significant challenges for denoising algorithms. Existing methods, relying on fix...

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The integration of project scheduling and human resource allocation is crucial in modern project management, particularly in complex and resource-constrained environments. This study addresses the Integrated Project Scheduling and Personnel Staffing Problem (IPSPSP) with time/resource trade-offs by...

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ABSTRACT Photovoltaic (PV) systems are highly sensitive to stochastic environmental variations, particularly irradiance and temperature, which complicate the task of consistently operating at the maximum power point (MPP). This paper presents a novel dual‐layer control strategy to optimize the perfo...

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The method of attack the research problems of the multiextremal dependencies in order to find several extremes simultaneously is described. It concerns both the problems of determining several equisignificant  global extrema, and the problems of allocation, apart with the global, of the most signifi...

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Vehicle suspension systems have a significant role in the capacity of transmit forces coming from the road and in vehicle performance. Loads between the road and the vehicle body significantly affect driver health, comfort, and vehicle drive features. Some research shows that the quality of suspensi...

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Microgrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P)...

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This paper investigates the constrained nonlinear thrust allocation problem for the dynamic positioning system of vessels. Considering the wear, energy consumption, and allocation error of thrusters, a constrained nonlinear mathematical optimization model of thrust allocation is established based on...

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The fundamental purpose of the proposed research is to identify and analyze important technological parameters by obtaining the characteristics of the studied thermal properties of hot tops, providing a stable mode of applying hydrodynamic pressure before the crystallization of the casting due to th...

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