Image classification uses automated analysis to categorize images 1. Image classification has been widely applied for target detection and recognition, image retrieval, information filtering and so on ...

Aiming at the multi-objective vehicle path planning problem with time windows (VRPTW), a Spark-based parallel Adaptive Large Neighborhood Search algorithm (Spark-ALNS) is proposed to solve it. The ...

Abstract: Gannet optimization algorithm (GOA) is a meta-heuristic algorithm based on habits of gannet proposed by Zhang et al. In this paper, we propose a Gannet optimization algorithm using parallel ...

This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a ...

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

The first step is to identify the problem that you want to solve and its characteristics. Some problems are inherently parallel, meaning that they can be divided into independent subtasks that can be ...

Parallel algorithms are designed to exploit multiple processors or cores to solve a problem faster or more efficiently than a sequential algorithm. However, implementing a parallel algorithm is not a ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has announced its research into the Synergic Quantum ...

More implementation-specific details are explained below. Further details about the study and the results obtained with these implementations can be fount in the dedicated report that can be found in ...

1. Initialize population: Randomly create a population of n solutions within the bounds. 2. Divide population into cells: Split the population into subgroups (cells). 3. Cellular evolution: Each cell ...