Resultados de búsqueda - optimization algorithm

This study focuses on solving the vehicle routing problem (VRP) of E-logistics service providers. In our problem, each vehicle must visit some pick up nodes first, for instance, warehouses to pick up the orders then makes deliveries for customers in the list. Each pickup node has its own list of mor...

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Benzo[<i>a</i>]pyrene is an important indicator of polycyclic aromatic hydrocarbons pollution that exhibits complex atmospheric dynamics influenced by meteorological factors and suspended particulate matter (SPM). Herein, the factors influencing B(a)P concentration were elucidated by ana...

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The improvement in the effectiveness of airfield operation largely depends on the problem solving quality on the interaction boundaries of different technological sections. One of such hotspots is the use of the same runway by inbound and outbound aircraft. At certain intensity of outbound and inbou...

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Carbon Capture and Storage (CCS) is a key technology for reducing anthropogenic greenhouse gas emissions, in which pipelines play a vital role in transporting CO₂ captured from industrial emitters to geological storage sites. To aid the efficient and safe operation of the CO&l...

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This study addresses the challenge of accurately correlating detailed and reduced thermal models in aerospace applications by using heuristic global optimization methods. In the context of increasingly complex thermal systems, traditional manual correlation methods are usually a time-consuming task....

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This work is devoted to developing of a recommendation system that enables the effective construction of learning trajectories for students studying in universities using learning management systems. The core of the recommendation system will be an artificial deep neural network of forward propagati...

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Temperature modeling plays an important role in the wave rotor refrigeration process control and optimization. However, considering data-driven nonlinear and time-delay modeling, how to determine the structure of the model is a challenging problem. To solve this problem, a novel sparrow optimization...

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A multi-information fusion welding defect recognition method is proposed by combining NRS with optimized SVM to address the “big data” generated during the multi-sensor information fusion welding process. A fast reduction algorithm based on NRS was constructed using feature importance as inspiration...

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Accurate trajectory prediction of concealed targets in complex, interference-laden environments present a formidable challenge for millimeter-wave sensor tracking systems. To address this, we propose a state-of-the-art autonomous prediction framework that integrates an Improved Sequential Variationa...

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As ocean exploration delves deeper, autonomous underwater vehicles (AUVs) have become essential tools for ocean missions. Dynamic path planning seeks to find an optimal path for AUVs from a start point to the target while avoiding collisions with moving obstacles. However, current dynamic path plann...

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Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. Traditional diagnosis is often based on single-modality d...

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The presence of toxic gas emissions from conventional vehicles is worrisome globally. Over the past few years, there has been a broad adoption of electric vehicles (EVs) to reduce energy usage and mitigate environmental emissions. The EVs are characterized by limited range, cost, and short range. Th...

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The design of the flying wing airfoil must consider aerodynamic stealth and trim requirements, with their coupling exacerbating the complexity of the design problem by introducing multiple local minimum points in design space. In addition, it would need a broad space with high dimensionality to obta...

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With the continuous expansion and increasing operational complexity of high-speed railway networks, there is a growing need for more flexible and efficient EMU (Electric Multiple Unit) routing strategies. To address these challenges, in this paper, we propose a multi-day flexible circulation model t...

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This paper analyzes hybrid renewable energy systems for Siwa Oasis, Egypt, utilizing real data to address challenges in this remote region. Four configurations were compared: the existing diesel-only system and three hybrid alternatives—Case 1 (PV + BESS), Case 2 (PV + T-PHS), and Case 3 (PV + Wind...

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Roads are the primary transportation infrastructure of every country and play a crucial role in achieving sustainable economic development. Neglecting environmental considerations in civil engineering projects, especially in the design and construction of roads, can cause extensive damage to human s...

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For a continuous nonlinear control system on a finite time interval with control constraints, where the right-hand side of the dynamics equations is linear in control and linearizable in the vicinity of the zero equilibrium position, we consider the construction of a feedback according to the Kalman...

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Methods of Markov theory of optimal stochastic processes estimation used for optimal aggregation of information about position of different objects can be successfully used in aerological radiosonde ascents problems. In this case, the aim is the integration of multi (functional, structural and infor...

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With the widespread application of combined heat and power (CHP) units, the coupling between electricity and heat systems has become increasingly close. In response to the problem of low operational efficiency of electricity–heat integrated energy systems (EH-IESs) with buildings in uncertain enviro...

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Global Maximum Power Point Tracking (GMPPT) presents a fundamental challenge in photovoltaic (PV) systems due to the inherent nonlinearity of PV array characteristics. Partial shading (PS) emerges as a particularly critical factor, significantly compromising overall system efficiency by inducing mul...

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