Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

Abstract In this study, a multi-objective optimization methodology is used to assess the crashworthiness of an aluminum foam-filled battery box designed for passenger cars. Unlike most research ...

Figure 3. PSO flowchart. 4. Improvement of Intelligent Optimization Algorithms [10] Common intelligent optimization algorithms are often combined with strategies such as hybrid approaches, adaptive ...

This paper conducts a multi-objective structural optimization design for the curved beam rib wing box based on the BP-Multi-Objective Genetic Algorithm optimization mechanism. First, the control ...

The tuning process is carried out using a combination of Pareto front derived from seven multi-objective metaheuristic optimization algorithms with two objectives. The proposed methodology is applied ...

The growing complexity of modern network systems has increased the need for efficient multi-objective routing (MOR) algorithms. However, existing MOR methods face significant challenges, particularly ...

Keywords: multi-source data fusion, BP neural network, legacy algorithm, genetic algorithm–optimized back propagation network, multi-sensor fault recognition Citation: Xiong Z, Ma J, Chen B, Lan H and ...

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