Search Results - "multi-objective optimization"

One of the most promising approaches of handling constrained optimization problems (COPs) is to adopt multi-objective methods, which can provide a trade-off between the objective and constraints. However, the multi-objective-based constraint-handling techniques take preference over infeasible soluti...

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Lightning strikes are a major hazard in tropical regions, especially in northern Brazil, where open-area industries such as mining are highly exposed. This study proposes an octant-based multi-objective optimization approach for spatial lightning alert systems, focusing on minimizing both false alar...

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The growing concerns over climate change, food security, and public health necessitate a transition toward sustainable diets. However, designing diets that are simultaneously healthy, environmentally friendly, culturally acceptable, and affordable presents significant challenges. This review explore...

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Analysis the procedure of multi-objective selection of conflict-free trajectories at aircraft conflict resolution was performed.

This study focuses on the multi-objective coordination problem in university campus planning and design, proposing an optimized methodology integrating an improved multi-objective decision-making framework. A five-dimensional objective system—comprising energy efficiency, spatial quality, economic c...

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This study addresses the problem of locating urban green spaces. Public health policies encompass a set of activities aimed at protecting individuals’ physical integrity and well-being, where prevention plays a critical role at both individual and collective levels. Having green spaces in urban area...

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This paper presents an in-depth analysis of a Quantum-inspired Multi-objective Optimization Algorithm (QMOA) applied to a unique problem: maximizing trading profits while minimizing energy costs. Previous investigations have explored the profitability of Bitcoin, yet our research delves into its rel...

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Classical method of designing electric motors help to achieve functional motor, but doesn’t ensure minimal cost in manufacturing and operating. Recently optimization is becoming an important part in modern electric motor design process. The objective of the optimization process is usually to minimiz...

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The manufacturing industry has been required to suppress CO2 emissions with the collaboration of the whole supply chain including parts manufacturing. Additive Manufacturing is a novel method that allows flexible production with a minimal amount of material, and the cooperative manufacturing of conv...

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Autonomous ship berthing requires advanced path planning to balance multiple objectives, such as minimizing berthing time, reducing energy consumption, and ensuring safety under dynamic environmental constraints. However, traditional planning and learning methods often suffer from inefficient search...

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Hydrogen can be a good energy carrier for renewable energies in the long-term due to its appropriate characteristics. However, hydrogen alone is not found in nature and cannot be produced directly. For this purpose, some energy needs to be spent on hydrogen separation. One of the most important hydr...

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The configuration of energy storage systems in offshore wind farms can effectively suppress fluctuations in wind power and enhance the stability of the power grid. However, the economic balance between the cost of energy storage systems and the fluctuations in wind power remains an urgent challenge...

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In this study, a multi-objective optimization procedure with embedded topology optimization was presented. The procedure simultaneously optimizes the spatial arrangement and topology of bodies in a multi-body system. The multi-objective algorithm determines the locations of supports, joints, active...

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During operation, dynamic cables endure coupled thermo-mechanical loads (mechanical: tension/bending; thermal: power transmission) that degrade stiffness, amplifying extreme responses and impairing configuration optimization. To address this, this study pioneers a multi-objective optimization framew...

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Aiming at the problem that the aggravation of the wheel tread wear of high-speed trains leads to the deterioration of train operation performance and an increase in re-profiling times, a multi-objective data-driven optimization design method for the wheel profile is proposed. Firstly, the chaotic ma...

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In this study, we applied the fuzzy analytic hierarchy process (FAHP) to the multi-objective optimization of the performance of a solar-electromagnetic energy heating system (SEHS). Optimizing the performance of SEHS as a sustainable heating solution in rural areas is crucial for improving energy ef...

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The urgent need to reconcile economic development with climate commitments presents a critical policy dilemma for emerging economies. This study proposes a novel decision-support framework integrating Long Short-Term Memory (LSTM) neural networks with the Non-dominated Sorting Genetic Algorithm III...

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This review investigates the role of building windows in supporting occupant well-being through access to natural views and daylight. This review synthesizes recent interdisciplinary research from environmental psychology, building science, and human physiology to examine how windows impact cognitiv...

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To address the growing demand for industrial software in the digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector, and to ensure the stable integration and operation of multi-source heterogeneous industrial software under complex conditions—such as heteroge...

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With the rapid advancement of urbanization, urban transportation systems are facing increasingly severe congestion challenges, especially at traditional roundabouts. The rapid increase in vehicles has led to a sharp increase in pressure at roundabouts. In order to alleviate the traffic pressure in t...

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