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 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 ...

Questions about Ne* for multi-copy system (1) While Ne is clearly defined in the standard single-copy gene model as the reciprocal of genetic drift (i.e., the decay in heterozygosity), its meaning for ...

An optimization method combining a genetic algorithm and the paralleling discrete ordinate code is developed and applied to the shielding design of the Savannah reactor. Several approaches are studied ...

Multi-objective genetic algorithm (MOGA) has the advantages of high accuracy, fast solution speed and stronger applicability in multi-objective problem solving and parameter optimization. Many groups ...

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